51results about How to "Image details are clear" patented technology

The invention discloses an HDR image fusion method based on a plurality of LDR images with different exposure degrees. The method comprises the following steps: step one, carrying out dark-bright region division on a plurality of inputted LDR images with different exposure degrees and calculating weight maps of the images according to contrast ratios, saturability values, exposure degrees, and brightness of the images in all regions; and step two, carrying out image decomposition by using a gradient pyramid and carry out image fusion in a multi-resolution manner. Compared with the prior art, the method has the following beneficial effects: because of usage of the gradient pyramid instead of a Laplacian pyramid during the fusion process, the image direction and edge information is increased and thus the generated HDR image effect is good; the image brightness information is considered during weight solving, so that the generated HDR image has the bright color, high contrast ratio, and clear image details; and the HDR image fusion method has the good referential significance in the HDR image field.

The invention provides an automatic segmentation method based on self-adaptive external force level set for magnetic resonance images (MRIs) of soft tissue and a realization method thereof. The automatic segmentation method comprises the steps that object region tissue satisfying a gray threshold is selected under the circumstance of interactive operation; gradient information of a smoothened image is calculated; a curve evolution guiding function is set; a boundary stopping function is set; and if an evolutional curve exceeds the boundary of an object region, parameters of the boundary stopping function are adjusted, then curve evolution is re-conducted and the iteration is conducted again until the evolutional curve is converged within the boundary of the object region. The automatic segmentation method has the characteristics of high real-time performance, high operation efficiency, capability of segmenting multiple discrete regions at the same time, capability of accurately recognizing fuzzy boundaries of the soft tissue of a human body, high segmentation precision, clear image detail characteristics, high intelligent degree, no need of manual intervention, stable and reliable operation, and the like.

The invention relates to the field of computer vision and pattern recognition, in particular to a human body re-recognition method and a human body re-recognition system. The human body re-recognition method comprises the steps: confirming motion areas in a to-be-detected video, and forming a range of human body detection; dividing images which form the range of the human body detection into a plurality of color channels, carrying out gray stretch and forming gray-stretched images; carrying out the human body detection on the gray-stretched images and obtaining human body images; carrying out preliminary matching on a human body in the human body image and a pre-stored human body sample; if the preliminary matching fails, storing the detected human body into the human body sample; if the preliminary matching succeeds, carrying out accurate matching on the human body in the human body image and the pre-stored human body sample; judging whether the matching is successful or not according to a result of the accurate matching; if not, storing the detected human body to the human body sample; and if yes, outputting the corresponding human body sample. The gray stretch is conducted on the images from the plurality of color channels, so that the original blurry images are cleared, and accuracy of human body re-recognition is improved.

The invention discloses a rapid image defogging method based on a spatial continuity principle. The method includes firstly preparing two integer type filter lookup tables according to selected parameters to perform space domain and value domain bilateral filtering based on the lookup tables; then, performing blurring processing on an atmospheric light curtain estimation image based on the spatial continuity principle, and performing image restoration processing on a fog image by using an atmospheric scattering physical model; and finally, performing brightening processing on the restored image. The rapid image defogging method is general and universal, not only the definition of images is improved effectively, but also timeliness of algorithms is improved effectively.

The invention discloses an adaptive optics technology based living human eye retinal cell microscope, which comprises an observation optical system, an illuminating optical system, an aberration correction micromechanical deformation mirror, a retinal cell image post-processing module, a deformation mirror correction control model and an image post-processing module, wherein the deformation mirror correction control model is used for proposing a wavefront correction arithmetic based on singular value decomposition and Smith control, and optimally the correction property of a system on spatialdomain and time domain, and the image post-processing module is used for carrying out iterative restoring according to a point spread function constructed by human eye residual aberration, a consistency measurement function of a resorting problem and a cost punishment function of prior information so as to obtain a target image, and thus, the observation and the diagnosis of doctors are convenient.

The invention discloses a physical model-based low-illuminance image enhancement algorithm. The physical model-based low-illuminance image enhancement algorithm is a Retinex algorithm and dark channel prior theory-combined improved algorithm. The objective of the invention is to solve the problem of little possibility of achieving balance among brightness improvement, contrast improvement and noise removal of an existing low-illuminance image enhancement algorithm. According to the physical model-based low-illuminance image enhancement algorithm, a BM3D algorithm is improved in efficiency, and the improved BM3D algorithm is applied to a YCbCr space; a brightness spread map is coarsely estimated in an HSI space; an atmospheric physical model under a low-illuminance condition is improved; and the Retinex algorithm is used in combination so as to refine the brightness spread map. As indicated by an experiment, the physical model-based low-illuminance image enhancement algorithm can achieve comprehensive enhancement of the brightness and contrast of a low-illuminance image and is also significantly improved in computing speed.

The present invention relates to the technical field of heat sublimation transfer printing, and discloses instant-drying type high-ink-absorption heat sublimation transfer printing digital paper, which sequentially comprises base paper, a water absorption and water permeation layer, a porous mesh bag layer and a surface channel layer from bottom to top, wherein the porous mesh bag layer is a three-dimensional mesh-bag-like interpenetrating network resin formed by cross-linking cellulose or carboxymethyl cellulose sodium or starch and cation modified polyacrylamide, or a three-dimensional mesh-bag-like interpenetrating network resin formed by cross-linking polyacrylamide or cellulose or carboxymethyl cellulose sodium and cation modified starch so as to significantly increase the ink absorption. According to the present invention, the water permeability is increased by regulating the composition of the resin and controlling the network density, such that the water molecules rapidly enter the water absorption and water permeation layer; and the instant-drying type high-ink-absorption heat sublimation transfer printing digital paper has characteristics of high ink absorption capacity, rapid ink absorption, instant drying after printing, good transfer printing effect and the like, and meets the fast printing and efficient production requirements of various dark fabrics.

The invention discloses a fast surveillance video haze removal method, aiming at addressing high computing complexity and fuzzy details of haze removed images in the prior art. The technical solution includes the following steps: upon computing an atmospheric light, halving a haze image into an upper half and a lower half, obtaining the atmospheric light from the upper half of the haze image by using dark channel prior; in the process of computing the transmittance of a single frame haze image, estimating the transmittance by using the improved fast transmittance estimation method which introduces adaptive parameters; in the process of processing a video, dividing the video into a background and foreground varying part by using the adjacent frame difference method, only computing the transmittance of the foreground varying part, and making the transmittance computing result at the same position of a previous frame as the transmittance of the background part of the current frame. According to the invention, the method herein not only reduces the complexity in computing transmittance, and increases the clarity of details of the haze removal image. The method can be applied to surveillance situations which have complex moving targets and large moving displacement.

The invention provides an image fusion method and device, and the method comprises the steps: obtaining an RGB image and an IR image, which are collected in the same scene; obtaining an image enhancement weight set of the RGB image; and carrying out the fusion of the RGB image and the IR image through the image enhancement weight set. The mode of generating a target image achieves a purpose that the defects (low imaging brightness and unclear details) of an RGB image at a single format are ironed out through the features (bright imaging and clear image details) of an IR image at a single format in a process of generating the target image through the RGB image and the IR image, thereby guaranteeing that the target image generated through the fusion of the RGB image and the IR image can effectively iron out the defects of the RGB image / IR image at the single format in the prior art.

The invention discloses a coding aperture spectral imaging method based on self-adaptive dictionary learning, and solves the problem that the reconstruction quality of a spectral image is poor due tothe fact that a redundant dictionary constructed by a traditional method cannot effectively and sparsely represent the target image in the previous coding aperture spectral imaging process. The self-adaptive learning is performed according to the measured value to obtain the redundant dictionary, and the method is used for improving the quality of the reconstructed spectral image. The method comprises the following steps: firstly, transforming an original coded aperture spectral imaging framework, and adopting an overlapping block measurement mode; estimating a plurality of spectral image blocks by using a least square method, constructing a training sample set, and performing adaptive training learning by using the sample set to obtain a new redundant dictionary; substituting the new dictionary into an imaging framework to reconstruct a target spectral image; and finally, carrying out loop iteration on the process until an optimal solution is obtained. The constructed redundant dictionary can adapt to a target image, and the spectral image reconstruction quality in coded aperture spectral imaging is greatly improved.

The invention discloses an image restoration method based on underwater prior constraints. The method comprises the steps that firstly, a new image imaging model suitable for an underwater environmentis proposed by considering the difference of underwater three-channel attenuation; secondly, an effective color correction algorithm is used to remove color cast from an underwater image, and the Shades of Gray algorithm is used to estimate underwater environment light in the color-corrected image; thirdly, the boundary constraint of an original clear image is used to estimate the transmissivity,which can make up for the defect of inaccurate transmittance estimation of many current methods and the estimated transmissivity is refined; and finally, a clear restoration result is recovered by using the acquired transmissivity and the estimated environment light in combination with the new underwater imaging model. According to the invention, color distortion in the underwater image can be effectively removed; the image contrast can be enhanced; and the restored result is natural in color and clear in detail.

The invention discloses a photographing method and device and a mobile terminal. The method includes acquiring a preset commissioning constant that the initial exposure target value under the current scene corresponds to; determining that the product of the preset commissioning constant and the initial exposure target value is the novel exposure target value under the current scene; utilizing the novel exposure target value to photograph the object. By means of the method and the device, the new exposure target value is the value modulated through the preset commissioning constant, the photographing effect is better compared with the original effect, and photographed image is clear in detail, and the problem of poor image effect caused by the fact that the exposure target value cannot be changed according to different brightness environments due to the fact that the photographed image effect cannot reach a balance point due to the fact that the bright-dark difference is too large is solved.

The invention discloses an infrared and visible light image fusion method based on ResNet. The infrared and visible light image fusion method comprises the following steps: decomposing a source imageinto a basic part and a detail part, and fusing the basic part by using an average weight strategy to generate a new basic part; carrying out feature extraction on the detail part by using ResNet152 to obtain a plurality of feature layers, respectively carrying out L1 regularization, convolution operation, bilinear interpolation upsampling and maximum selection strategies on the feature layers toobtain a maximum weight layer, and multiplying the maximum weight layer by the detail part to obtain a new detail part; and finally, reconstructing the image by the new basic part and the detail part.According to the infrared and visible light image fusion method, the fusion image obtains more texture information while image salient features are reserved, and artifacts and noise are effectively reduced.

The invention relates to the technical field of sublimation transfer printing and discloses instant dry type sublimation transfer digital paper. The instant dry type sublimation transfer digital paper comprises perforated PP paper, a water absorbing and permeable layer, a porous layer and a surface channel layer which are sequentially arranged from bottom to top; the porous layer is made of interpenetrating network resin formed by crosslinking of cellulose or sodium carboxymethylcellulose or starch and modified cationic polyacrylamide, or formed by crosslinking of polyacrylamide or cellulose or sodium carboxymethylcellulose and modified cationic starch; on one hand, the interpenetrating network resin can swell to 'catch' a dye for quick ink absorption, and on the other hand, components of the resin are adjusted and the network density is controlled to improve the water permeability, so that water molecules can quickly enter the water absorbing and permeable layer; and the perforated PP paper has excellent flexibility and mechanical strength and is stable in size in the printing process, so that the problem of shrinkage, caused by weather, of the conventional paper base material is solved. The instant dry type sublimation transfer digital PP paper has the characteristics of being instant in drying, quick in ink absorption, good in size stability and low in cost, and can meet the requirements for quick printing and efficient manufacturing at present.

The invention relates to the technical field of heat sublimation transfer, and discloses instant dry type heat sublimation transfer digital paper. The instant dry type heat sublimation transfer digital paper sequentially comprises base material paper, a water absorbing and permeating layer, a porous layer and a surface channel layer from bottom to top. The porous layer is interpenetrating polymer network resin formed by cross linking of cellulose or sodium carboxymethylcellulose or starch and cation modified polyacrylamide or formed through cross linking of polyacrylamide or cellulose or sodium carboxymethylcellulose and cation modified starch. On one hand, the interpenetrating polymer network resin can expand to pocket dyestuff, and rapid ink sucking is conducted; and on the other hand, resin components are adjusted, the network density is controlled, so that the water permeability is improved, and water molecules rapidly enter the water absorbing and permeating layer. Holes are formed in the hydrophilia end of the water absorbing and permeating layer, and water in ink is adsorbed into the holes and rapidly transmitted to the cellulose paper base material. The instant dry type heat sublimation transfer digital paper has the beneficial effects that dryness can be achieved immediately during printing, ink absorbing is rapid, and the transfer effect is good; and requirements of existing rapid printing and efficient manufacturing are met.

The invention relates to a pyramid face image super-resolution reconstruction method based on a regression model, and relates to the enhancement or restoration of an image. The feature that images have a non-local similarity is used to search low-resolution face images in a test set in corresponding feature images thereof for similar blocks of reconstruction image blocks to obtain a position set of all similar blocks. Face image blocks in the position set of all low-resolution images in a training set are used as a low-resolution training set corresponding to the low-resolution face image blocks in the test set. The sum of the distances between feature image blocks corresponding to the low-resolution face image blocks in the test set and feature image blocks corresponding to the low-resolution face image blocks in the training set and the distances between feature image blocks corresponding to the face image blocks after the low-resolution images in the test set are interpolated and amplified and the feature image blocks corresponding to high-resolution face image blocks in the training set constitutes constraint conditions. The method overcomes many deficiencies in the face imagereconstruction process of the prior art.

The invention relates to an iterative global adaptive image enhancement method, and provides the iterative global adaptive image enhancement method so as to solve the defect that an existing image enhancement method needs to set reasonable parameters manually, which is very hard to realize. The method comprises the following steps: inputting RGB color images; converting the RGB color images into HSV data; carrying out inverse gamma transformation on V-channel data of the HSV data to obtain corrected image data; with the corrected data being as an initial value of iteration, carrying out low-light gray stretching, and then, carrying out high-light gray stretching; judging whether the absolute value of the difference of iteration parameters of current iteration and previous iteration is smaller than or equal to a preset threshold value; if so, carrying out gamma correction on the result obtained through iteration, and if not, returning to the previous step for iteration continuously; and carrying out RGB transform on the result obtained after gamma correction, and displaying the enhanced image in a displayer. The iterative global adaptive image enhancement method is suitable for image enhancement tools.

A PCB photoelectric image obtaining and pre-treating method including the steps of allowing a conveyor belt to rotate at a uniform speed when driven by a high-precision step servo motor system, the conveyor belt driving a PCB to conduct high-precision uniform-speed linear motion under the friction force effect, distributing a one-dimensional linear array CCD formed by a plurality of CCDs along the width direction of the PCB, fixing a high brightness linear light source above the PCB along the width direction to irradiate partial PCB right below the CCD, and an image acquisition card in a PC acquiring partial PCB photoelectric images taken by the linear array CCD to obtain a PCB photoelectric image of a complete area. Since an algorithm combing removing gray redundance (RGR) and gray transformation (GT) is employed, the non-redundant gray level of an image is maintained, and the details of the image are clear and distinct. The method is suitable for companies producing or researching large area printed circuit boards (PCB).

The invention relates to the technical field of thermal sublimation transfer printing, and discloses temperature-sensitive sticky instantly-dry thermal sublimation transfer printing digital paper. The paper sequentially comprises substrate paper, a water absorption and water permeable layer, a porous layer, a channel layer and a surface bonding layer from bottom to top; the surface bonding layer is a composite of a combination of any two or more than two of a polyvinyl alcohol-vinyl acetate copolymer, an ethylene-vinyl acetate-vinyl alcohol copolymer, sodium carboxymethylcellulose and polyvinyl alcohol and polyhydric alcohols; the porous layer is interpenetrating polymer network resin, the interpenetrating polymer network resin can expand to contain dye and quickly adsorb ink, and the purpose that water molecules quickly enter the water absorption and water permeable layer is achieved by regulating composition of the resin and controlling the network density. According to the temperature-sensitive sticky instantly-dry thermal sublimation transfer printing digital paper, the surface bonding layer has no stickiness at room temperature, and therefore the digital paper can be conveniently rolled up; when the digital paper is heated to the specific temperature, the surface of the transfer printing paper has the very good stickiness to stick an elastic bearing object, and the advantages of being clear in transfer-printed image detail and bright and saturated in color are achieved; after transfer printing is completed and the temperature is lowered, the digital paper is automatically separated from the bearing object, and the temperature-sensitive advantage is achieved.

The invention discloses an image denoising method based on a Contourlet transformation self-adaptation direction threshold value, and belongs to the technical field of images. An elliptical direction neighborhood consistent with a sub-band energy gathering direction is adopted to calculate the self-adaptation direction threshold value. The method comprises the steps that (1), an image with noise I is input; (2), Contourlet transformation is carried out on the I; (3), local signal direction energy of a coefficient is estimated through the elliptical direction neighborhood; (4), a direction energy factor of the coefficient is calculated according to the local signal direction energy and dimension signal average energy; (5), based on the Bayes criterion, a Bayes threshold value is corrected through the direction energy factor to obtain the self-adaptation direction threshold value; (6), based on soft threshold value rules, threshold value shrinkage is carried out on the coefficient with noise through the self-adaptation direction threshold value; (7), Contourlet inverse transformation is carried out through the shrunk coefficient to obtain a denoised image. The method can effectively remove the noise, and clear image details can be kept.

The invention relates to the technical field of thermal sublimation transfer printing and discloses an instant-dry type thermal sublimation transfer printing PET membrane. The instant-dry type thermal sublimation transfer printing PET membrane sequentially comprises a perforated PET membrane layer, a water absorbing and permeating layer, a porous layer and a surface channel layer from bottom to top; the porous layer is made of interpenetrating network resin formed by cross linking of cellulose, sodium carboxymethyl cellulose or starch and cationic modified polyacrylamide or interpenetrating network resin formed by cross linking of polyacrylamide, cellulose or sodium carboxymethyl cellulose and cationic modified starch; on one hand, the interpenetrating network resin can expand to bear dye and quickly absorb ink; and on the other hand, the composition of the resin is adjusted, and the density of a network is controlled, so that the water permeability is improved, and water molecules can quickly enter the water absorbing and permeating layer. The perforated PET membrane layer has good toughness and mechanical strength, and the size is stable in a printing process, so that the problem of shrinkage of an existing paper base material due to weather is solved. The instant-dry type thermal sublimation transfer printing PET membrane disclosed by the invention has the characteristics of instant dryness after printing, quick ink absorption and good dimension stability; and the demands of quick printing and high-efficiency production are met.

The invention belongs to the technical field of generative adversarial networks and style migration in computer vision, and discloses an arbitrary style migration method and system, a storage medium, computer equipment and a terminal.The input of an arbitrary style migration system network is composed of a content image Ic and a style image Is, and the output of the arbitrary style migration system network is a stylized image Ics; the network structure is composed of an image encoder Enc, an adaptive channel network AdaNet, a decoder Dec, a discriminator D and an auxiliary classifier Q, the arbitrary style migration method comprises the following steps: training an arbitrary style migration network model by utilizing a training data set; and after the training of the network model is completed, network feedforward is carried out by using an image encoder Enc, an adaptive channel network AdaNet and a decoder Dec, so that a stylized image can be obtained. According to the method, the visual performance of the generated artistic image is improved, the defects of fuzzy blocks, color blocks, meaningless lines and the like existing in the image generated by the existing method are eliminated, and clearer image details are achieved.

The invention relates to an image fusion and super-resolution joint implementation method based on discriminant dictionary learning, and belongs to the technical field of digital image processing. Specifically, firstly, two pairs of low-rank and sparse dictionaries and a high-resolution and low-resolution image coding coefficient conversion matrix are jointly trained; wherein one pair of dictionaries is used for representing low-rank and sparse parts of an input image, the other pair of dictionaries is used for reconstructing high-resolution fused low-rank and sparse parts, and the conversionmatrix is used for establishing a potential relationship between a high-resolution image and a low-resolution image. And then a sparse and low-rank separation model is constructed, and the input imageis effectively decomposed into low-rank and sparse parts, so that a high-resolution fusion image can be constructed through different dictionaries. According to the invention, image fusion and super-resolution reconstruction are realized in a combined manner. Experimental results show that the method has better fusion performance no matter in the aspects of visual effect or objective index.

The invention discloses an infrared image enhancement method for vehicle-mounted infrared pedestrian detection. The method comprises the steps that 1, an image processor carries out the adaptive median filtering of an infrared image, and removes the particle noise and salt and pepper noise in the infrared image; 2, the image processor performs equalization processing on the infrared image processed in the step 1 by adopting a platform histogram equalization method to obtain an equalized image; 3, the image processor performs gamma transformation on the image equalized in the step 2 to obtain an image y1; 4, the image processor firstly performs Laplace sharpening processing on the infrared image processed in the step 1, and then performs non-maximum suppression processing to obtain an imagey2; and 5, the image processor performs weighted combination processing on the image y1 obtained in the step 3 and the image y2 obtained in the step 4 to obtain an image y. The method is novel and reasonable in design, can improve the enhancement effect of the infrared image, obtains the overall information of the image, is high in recognition degree, is rich in layering, is high in practicality,and is high in popularization and application values.

The invention provides a defogging device based on a space and channel attention residual network and a defogging method thereof. The defogging device comprises a main calculation module, a circulation module, a first calculation module, a second calculation module, a third calculation module and a fourth calculation module, the defogging device is used for defogging the input image and outputting a defogged image; the input image and the defogged image are color images composed of RGB three-dimensional channels; according to the method and device, any atmospheric scattering model parameter does not need to be estimated, and weight values are adaptively allocated to different space pixels and different feature channels by analyzing the mutual relation between the different space pixels and the different feature channels, so that the neural network more focuses on analyzing and processing the space pixels and the feature channels with larger value and information amount, and the defogging capability of the deep neural network is effectively improved; and the restored image is clear in detail and rich in color.

The invention relates to a spherical composite film digital paper for thermal sublimation transfer printing, belonging to the technical field of thermal sublimation transfer printing. The spherical composite film digital paper comprises, from bottom to top, a substrate paper (1), a spherical composite film (2) and a surface channel layer (3), wherein the spherical composite film (2) is an interpenetrating network spherical composite film composed of hydrophilic network resin and a porous inorganic substance, or cyclodextrin, or a composition of the porous inorganic substance and cyclodextrin,and the hydrophilic network resin is interpenetrating network resin formed by separate crosslinking of cationic polyacrylamide with an acrylic resin composition and carboxymethylcellulose sodium; andthe spherical composite film (2) will expand and wrap up a dye and realizes multilevel separation of dye molecules and water molecules, and the network density of the spherical composite film is adjusted to improve water permeability. The spherical composite film (2) is directly connected with the substrate paper (1), so rapid drying of ink can be achieved. The coating of the spherical composite film digital paper in the invention is of a two-layer structure; and the spherical composite film digital paper is simple in production process, capable of drying immediately after printing, fast in ink absorption and good in transfer printing effect, and meets the requirements of rapid printing and efficient production.

The invention provides an adaptive exposure processing system and method for a camera of a forest and grassland patrol unmanned aerial vehicle, and belongs to the technical field of artificial intelligence image acquisition. The method comprises the steps of acquiring a first image acquired by using a first initial exposure parameter and a second image acquired by using a second initial exposure parameter by the camera of the forest and grassland patrol unmanned aerial vehicle; obtaining first data serving as an exposure parameter adjustment basis according to the first image, and obtaining second data serving as the exposure parameter adjustment basis according to the second image; inputting the first initial exposure parameter, the first data corresponding to the first initial exposure parameter, the second initial exposure parameter and the second data corresponding to the second initial exposure parameter into an artificial intelligence model; and adjusting exposure parameters during image acquisition according to ideal exposure parameters output by the artificial intelligence model. According to the invention, intelligent adaptive adjustment is carried out on the camera exposure parameters by using artificial intelligence, so that an image with ideal exposure can be shot, and the accuracy of fire early warning based on the image is improved.

The invention relates to a low-light-level night vision imaging structure and application thereof. The low-light-level night vision imaging structure comprises a shell, an objective lens arranged in the shell, an infrared cut-off filter switcher, a fast switching controller, an imaging chip, an image processor, a display screen and an eye lens, wherein the objective lens, the infrared cut-off filter switcher and the imaging chip are sequentially arranged on the same optical axis along the light incidence direction; the objective lens adopts a visible and near-infrared confocal lens, and each lens of the objective lens is plated with a visible and near-infrared broadband antireflection film; the fast switching controller is electrically connected to the infrared cut-off filter switcher andthe imaging chip; the imaging chip is electrically connected to the image processor, and the image processor can render color information of each point of an image obtained from a color imaging imageinto an infrared black-and-white imaging image to obtain a composite image; and the image processor is electrically connected to the display screen and is used for transmitting the composite image tothe display screen for display. According to the low-light-level night vision imaging structure and application thereof, the image with high definition can be acquired.

The invention relates to the technical field of heat sublimation transfer, and discloses instant dry type heat sublimation transfer digital paper. The instant dry type heat sublimation transfer digital paper sequentially comprises base material paper, a water absorbing and permeating layer, a porous layer and a surface channel layer from bottom to top. The porous layer is interpenetrating polymer network resin formed by cross linking of cellulose or sodium carboxymethylcellulose or starch and cation modified polyacrylamide or formed through cross linking of polyacrylamide or cellulose or sodium carboxymethylcellulose and cation modified starch. On one hand, the interpenetrating polymer network resin can expand to pocket dyestuff, and rapid ink sucking is conducted; and on the other hand, resin components are adjusted, the network density is controlled, so that the water permeability is improved, and water molecules rapidly enter the water absorbing and permeating layer. Holes are formed in the hydrophilia end of the water absorbing and permeating layer, and water in ink is adsorbed into the holes and rapidly transmitted to the cellulose paper base material. The instant dry type heat sublimation transfer digital paper has the beneficial effects that dryness can be achieved immediately during printing, ink absorbing is rapid, and the transfer effect is good; and requirements of existing rapid printing and efficient manufacturing are met.

The invention belongs to the technical field of heat sublimation transfer printing, and discloses a topological composite film heat sublimation transfer printing digital paper. The topological composite film heat sublimation transfer printing digital paper comprises a base material paper layer (1), a topological composite film layer (2), and a surface channel layer (3) successively from bottom totop; the topological composite film layer (2) is composed of a topological network resin and a porous compound; the topological network resin is an interpenetrating network resin formed via crosslinking of a composition of isophorone diisocyanate and triphenylmethane-4,4',4''-triisocyanate with a composition of carboxymethylcellulose sodium and acrylic resin; the topological composite film layer (2) is capable of expanding to intercept dyes, and realizing multi-layer separation of dye molecules and water molecules, and at the same time, the network intensity of the topological composite film layer (2) is adopted to improve separation performance; the topological composite film layer (2) is directly connected with the base material paper layer (1) so as to realize rapid drying of ink. The topological composite film heat sublimation transfer printing digital paper is of a double-layer structure; the production technology is simple; printing instant drying, rapid ink absorption, and transfer printing effects are excellent, and rapid printing and high efficiency manufacturing requirements are satisfied.