75 results about "Halo effect" patented technology

The invention relates to the field of digital image processing, and aims at enhancing digital image contrast ratio and weakening unfavorable influence on image quality caused by an over-enhancement effect, a halo effect and average brightness drifting. Therefore, the technical scheme adopted by the invention is a histogram equalization method for maintaining background and detail information. A histogram statistics calculation method for performing statistics on local neighborhood information is adopted so that an optimized histogram is generated. Meanwhile, degree of enhancement of the parameter adjustment contrast ratio is set. Before equalization of the histogram, a certain value of the optimized histogram is taken to perform segmentation, and then histogram equalization operation is performed respectively. The histogram equalization method is mainly applied to digital image processing.

Contact lenses incorporate high plus or add power profiles that at least one of slow, retard or preventing myopia progression and minimize halo effect. The lens includes a center zone with a negative power for myopic vision correction; and at least one treatment zone surrounding the center zone, the at least one treatment zone having a power profile that increases from an outer margin of the center zone to a positive power within the at least one treatment zone of greater than +5.00 D.

Compositions, systems, and methods for ink-jet printing having improved black to color bleed control, reduced wicking, and / or reduced halo are described. The composition can include a functionalized carbon pigment dispersed in an ink vehicle. The carbon pigment includes functional groups chemically attached thereto. Suitable functional groups includes an aromatic ring structure having multiple carboxyl groups (or salts thereof) attached to the aromatic ring structure, wherein at least two of the multiple carboxyl groups are positioned on adjacent carbon atoms of the aromatic ring structure.

An image interpolator is presented that utilizes a block-based motion estimator to provide block-based motion vectors and a motion vector select coupled to the block-based motion estimator to provide pixel based motion vectors. A first image interpolator provides a first interpolated image from the selected motion vectors. A second image interpolator corrects the selected motion vectors, including a correction for halo reduction. Post processing can be utilized to further reduce the halo effect.

The invention provides a non-reference tone mapping image quality evaluation method based on multi-feature fusion. The method mainly comprises a feature extraction stage and a training regression stage. In the feature extraction stage, features of an image are extracted in three fields, and entropy features of the image, texture features based on a gray level co-occurrence matrix and natural scenestatistical features are extracted in the pixel field. In the field of ambiguity, local phase consistency is adopted to evaluate the overall ambiguity, and small block features are extracted from anedge region to measure the halo effect. In the color field, an image is converted into an opposite color space, and overall color information and contrast information of all channels are measured. Finally, the quality of the tone mapping image is predicted by using a machine learning method. The algorithm provided by the invention can accurately and effectively predict the quality of the tone mapping image.

The invention provides a frame rate improving method which mainly comprises four steps that image segmentation is carried out, and the foreground, the background and the object edge are obtained; the foreground and the background are subjected to variable size block matching motion estimation, and the object edge is subjected to motion estimation based on an optical flow field; a motion vector is subjected to post processing, and a proper motion vector is obtained; and a method of overlapped block motion compensation and bilinear interpolation is used for motion compensation, and interpolation frames are synthesized. According to the frame rate improving method, the problems that the halo effect, the edge block sawtooth effect and the like happen in a traditional frame rate improving method can be solved, and the method is widely used in the field of frame rate improving.

An embodiment of the invention provides an image sharpening method and device. The method comprises the steps of respectively conducting bilateral filtering processing and gaussian difference filter processing on original image information to obtain first image layer information and second image layer information; substracting the original image information from the first image layer information to obtain third imager layer information; conducting fusion overlapping processing on the second image layer information and the third image layer information to obtain fourth image layer information; adding the original image information to the fourth image layer information to obtain processed image information. According to the technical scheme of the image sharpening method and device, the bilateral filter and gaussian difference filter are well fused and then image sharpening is conducted, the halo effect of high contrast image edge is reduced or even eliminated, and the image sharpening effect is improved.

Contact lenses incorporate high plus or add power profiles that at least one of slow, retard or preventing myopia progression and minimize halo effect. The lens includes a center zone with a negative power for myopic vision correction; and at least one treatment zone surrounding the center zone, the at least one treatment zone having a power profile that increases from an outer margin of the center zone to a positive power within the at least one treatment zone of greater than +5.00 D.

A method for rendering an image including objects defined by surfaces. A rendering application selects an object in a first image and determines a surface of the object. An initial set of illumination values is calculated and is separated into low and high spatial frequency components associated with the surface of the object. The rendering application independently adjusts the illumination values of the low and high spatial frequency components based lighting information in the first image, and generates a modified set of illumination values by combining the adjusted low and high spatial frequency components. The surface of the object is then rendered using the modified set of illumination values. Advantageously, embodiments of the invention provide techniques for rendering an object without introducing halo effects around the object. Additionally, embodiments of the invention provide for rendering a sequence of frames without introducing fluctuations in the low frequency components from across frame.

The invention provides a single image haze removing method based on a mean-mean square error dark channel under a superpixel framework. The method comprises the following steps that the minimum value matrix I<dark> of each color channel of an image I is calculated according to the formula (6), hereafter referred to as the grayscale matrix I<dark>; appropriate parameters T and k are obtained according to the step 1, and the haze removing rate omega is calculated according to the formula (5); the atmospheric light value A is estimated; the matrix img=I / A is calculated, and superpixel segmentation is performed on the matrix img so that multiple omega of which the imaging field depth d(x) of the scene and the scattering coefficient beta of the atmospheric medium are constant are obtained; the dark channel is calculated for each omega according to the formula (4) so as to obtain J<dark>, and the obtained J<dark> of all the omega is spliced together so as to obtain the dark channel J<dark> of the whole image; the coarse transmittance t is calculated through t=1-omega*J<dark>; fine treatment is performed on the coarse transmittance t so as to obtain the fined transmittance t*; and the final recovered image J is obtained by the formula J=(I-A) / t*+A. According to the method, the haze concentration and the field depth are maintained to be unchanged in the local area represented by the superpixels so that the halo effect of the abrupt change part of the field depth can be overcome, and the problem of color cast of the infinite distance part of the field depth can be effectively alleviated.

The invention provides a method for manufacturing a semiconductor device having epitaxial source-drain areas. Epitaxial layers with the same impurities as traps are grown by an epitaxial way at source-drain grooves and are used as protection layers, so that CMOS device collusion can be prevented and thus the HALO effect can be replaced completely or partially; and then epitaxy of the source-drain areas can be carried out. Therefore, the performance and stability of the semiconductor device can be enhanced.

The present invention relates to an illuminated indicia (4) formed from a material capable of absorbing light and transmitting light to an exposed edge. The material is preferably a fluorescent plastic material such as fluorescent acrylic sheets or molded members. The indicia (4) has a light absorbing section and a display section. The light absorbing section is exposed to a light source and the absorbed light is transmitted to the exposed edge (18) of the display section. The thickness of the exposed edge (18) of the display section is less than the length of the light absorbing section. Under typical indoor and outdoor lighting conditions, a constant passive illumination is created by the exposed edge of the display section. In a preferred embodiment the indicia is formed from material containing a light stimulating agent or additive. When the intensity of the light is sufficient, a halo effect may be achieved at the exposed edge.

The invention provides a method and a device for generating a halo effect diagram, so as to solve the problem that a light emitting source in an image can not be determined accurately in a mode of increasing halo effects for the image in the current prior art. The method comprises steps: according to the brightness information of an original image, an area in need of halo increasing in the original image is determined; fuzzy processing is carried out on the area; and the image after fuzzy processing and the original image are overlapped to obtain the halo effect diagram. The determined halo area in the scheme is more close to the natural halo, and the halo effects are better and more vivid.

Contact lenses incorporate high plus or add power profiles that at least one of slow, retard or preventing myopia progression and minimize halo effect. The lens includes a center zone with a negative power for myopic vision correction; and at least one treatment zone surrounding the center zone, the at least one treatment zone having a power profile that increases from an outer margin of the center zone to a positive power within the at least one treatment zone of greater than +5.00 D.

The invention relates to a method for obtaining human face illumination invariant images based on multiscale anisotropic diffusion, belonging to the field of image processing technologies. The invention is based on a Lambertian convex surface model for decomposing the human face image to a small-scale feature image and a large-scale feature image. The small-scale feature image can be regarded as the ideal human face illumination invariant feature image. The core is characterized in that new descriptors with inconsistent intervals are introduced for strengthening edge retention capability of an anisotropic diffusion algorithm to low frequency domain images so as to greatly weaken image halo effect of the algorithm; meanwhile, a new transfer coefficient is provided, and noised caused by edge sharpening is reduced; and an anisotropic diffusion constraint is introduced, and the method is more suitable for treating the illumination problem of the human body image. Experiments show that the invention can obtain good treatment effect even in extremely poor lighting conditions and can effectively improve robustness of face recognition or face certification to changes in lighting conditions.

The invention relates to a burnt-out printing / tie dyeing method of cotton-polyester blended fabric, which reforms and develops the traditional burnt-out printing process and tie dyeing process based on principles and technologies in the fields of modern esthetics, textile materials, textile processing chemistry, dyeing and finishing processes, and the like so as to maintain the traditional characteristics and be full of modern tastes. The burnt-out printing / tie dyeing fabric can be conveniently dyed in various colors by selecting the type and the color of various chemical dyes to meet the specific requirements and can have both clear patterns and exquisite chromatic halo effects, and stereoscopic effects on the surface of the fabric formed by a chemical method can not be weakened with the increase of the wearing time and the washing frequency. The method can be widely used in the fields of clothing, indoor soft decoration, fiber art, and the like, and has good generalization and application prospects.

The present invention is an automobile instrument panel lighting structure providing a gentle illuminant effect on the display card through a halo effect and illuminating the hand without having an external light-source, thereby facilitating a driver's reading when driving at the dark environment.

The invention provides an image defogging method, which comprises the following steps: calculating the atmospheric light component of a foggy image to be processed; constructing each pixel of the foggy image and added source points and focal points into an undirected graph represented by an edge set and a vertex set, and solving a minimum cut in the undirected graph to carry out image segmentation processing to the foggy image so as to obtain a plurality of segmented image areas; and according to the atmospheric light component, independently carrying out defogging processing to each segmented image area by adopting a dark channel prior defogging method to obtain a defogged image. Firstly, the foggy image is subjected to the image segmentation processing by adopting an image segmentation method based on image segmentation to obtain a plurality of segmented image areas, then, each segmented image area is subjected to the defogging processing independently by adopting the dark channel prior defogging method, so that the obtained defogged image avoids from generating an obvious halo effect defect on an edge, and the obtained defogged image is clear and undistorted. The invention also provides an image defogging system.

The invention discloses a high dynamic range image adaptive reproduction display method. The method comprises the steps that a high dynamic range image is read so as to obtain the grayscale or brightness channel of the image; local mapping transformation is performed on the grayscale or brightness channel of the image by using a nonlinear tone mapping window model; local contrast measure calculation is performed based on a PLIP model; adaptive optimization double guidance image mapping constraints are designed to guide an objective optimization function to obtain the optimal result; and the result image is outputted. The high dynamic range image can be effectively displayed, the image edge and image detail information can also be maintained and the halo effect can be suppressed so as to have great adaptive capability and robustness, and the processing effect proves that the method has high practicality.

A method of processing an image, including estimating a point spread function (PSF) of an acquired image, and performing image restoration on the acquired image using the estimated PSF based on a generalized Gaussian model using inverse filter frequency domain so as to perform image restoration at high speed and to prevent a halo effect. The method provides high speed processing while preventing a halo effect. The apparatus includes an ultrasonic imaging apparatus including: an ultrasonic probe to irradiate an object with ultrasonic waves and to receive ultrasonic echo waves reflected from the object; a beamformer configured to perform beam forming based on the ultrasonic echo waves received by the ultrasonic probe; an image restorer configured to restore the image beam formed by the beamformer based on a generalized Gaussian model; and an postprocessor configured to suppress noise and aliasing which are produced in the process of restoring the image.

The invention discloses an edge boosting method for images and is used to adjust the luminance of a target pixel of a digital image. The target pixel has an original luminance value. The method comprises that: the edge boosting operation is done to the target pixel to obtain an edge boosting luminance value of the target pixel. The target pixel is made an edge detection to obtain an edge direction of the target pixel. Then an adjustment range is determined according to the luminance value of at least one neighboring pixel neighboring the target pixel and along the edge direction. Then the edge boosting luminance value is adjusted according to the adjustment range to ensure that the adjusted edge boosting luminance value can not be over-bright or over-dark, the halo effect is suppressed, and the sharpness of the image edge is increased.

An indicator assembly with a dial face, a pointer and a lamp. The dial face has an opaque portion and defines a shaft aperture. The pointer has a connecting portion, a pointer portion and an opaque boot portion. The connecting portion is disposed in-line with the aperture. The pointer portion is coupled to and extends radially outwardly from the connecting portion. The boot portion extends about the connecting portion and contacts the dial face in a zone that encircles the aperture. The lamp is disposed rearwardly of the dial face and provides a source of light. A method for reducing or eliminating a halo effect is also provided.

The invention provides a low-illumination image enhancement method based on improved Retinex and logarithmic image processing. The low-illumination image enhancement method comprises the following steps: calculating a bright channel value of a sample image, and taking the value as an illumination component of the sample image; performing self-adaptive local adjustment on the illumination componentby utilizing background intensity under an existing logarithmic image processing model; in combination with a Sobel edge detection method, carrying out filtering refinement on the locally adjusted illumination component; and obtaining an enhanced image based on a Retinex theory according to the refined illumination component. The invention provides a low-illumination image enhancement method based on improved Retinex and logarithmic image processing, being characterized in that the Retinex theory is combined under an existing logarithmic image processing model, so as to enhance a sample imageand effectively solve the problems that a Retinex algorithm may have a halo effect and is too enhanced, and the low-illumination image enhancement method can adapt to more diverse illumination environments.

The invention discloses a method for designing a bandhnu pattern by dedicated fractal software UltraFractal on the basis of a fractal principle. The method comprises the following four steps: (1) in the UltraFractal, according to bandhnu pattern geometry, selecting a fractal complex iterated function, and setting the parameters of the complex iterated function to draw a fractal graph; (2) on the basis of the drawn fractal graph, selecting a mapping function again according to the design requirements of the bandhnu pattern to change the geometry appearance of the graph; (3) according to the color requirements of the bandhnu pattern, selecting and designing an internal color function and an external color function; and (4) according to the color change characteristics of the bandhnu pattern, regulating an UltraFractal color gradient editor to simulate a color halo effect of the bandhnu pattern. The design of the bandhnu pattern is realized through the four main steps.

A contact lens with a central portion, an iris portion, and a peripheral portion disposed about the iris portion; an effect band in or just outside the iris portion helps to provide the lens with a halo effect when worn on eye.

An image defogging method based on visual optimization of a sky region comprises a first step of evaluating the transmission rate of a fog image with the sky region; a second step of guiding and filtering transmission rate of the fog image with the sky region; a third step of recovering the scattering scene of the fog image with the sky region and a fourth step of visually optimizing the sky region of the fog image. The " halo effect " is effectively inhibited, so that the image processing effect is more natural. According to the method, visual perception optimization is carried out on a sky distortion area based on a dark channel prior defogging algorithm, and the transmission rate of the sky region is reevaluated. The sky distortion phenomenon is obviously improved, and a more natural defogging effect is presented.

An image interpolator is presented that utilizes a block-based motion estimator to provide block-based motion vectors and a motion vector select coupled to the block-based motion estimator to provide pixel based motion vectors. A first image interpolator provides a first interpolated image from the selected motion vectors. A second image interpolator corrects the selected motion vectors, including a correction for halo reduction. Post processing can be utilized to further reduce the halo effect.

The invention relates to the field of image processing, in particular to a multi-target segmentation method for an image with non-uniform illumination, which comprises the following specific steps of: (1) inputting the image and converting the image into a grayscale image; (2) after the step (1), setting an image pixel neighborhood, and starting to traverse image pixels; (3) after the step (2), calculating a gray average value and an image entropy value, and dividing image pixel neighborhoods into four local neighborhoods, namely brightness neighborhoods and characteristic strength neighborhoods; and (4) after the step (3), processing different pixel points by adopting different neighborhood sizes and threshold calculation methods until all the pixel points of the image are traversed. According to the method, the gray level distribution aggregation degree and spatial characteristics of pixel neighborhoods can be fully considered, even if a halo effect exists in an illumination non-uniform image, appropriate neighborhoods and threshold values can be automatically selected, whether the current pixel is in a target area or not can be better judged, and it is guaranteed that the outline of a target or a defect can be accurately divided.