69results about How to "Improve bokeh effect" patented technology

The invention discloses a picture blurring method and device and electronic equipment, and belongs to the field of picture processing. The method comprises the steps of obtaining a first picture and a second picture, with the same framing range, taken by the same camera; obtaining depth information according to the first picture and the second picture; determining the background region of the first picture according to the depth information; and blurring the content in the background region of the first picture. Thus, the problem that a user needs to open a picture through software and select the background region in the prior art is solved, the blurring effect is improved, and the user operation is simplified.

The invention discloses an image processing method, an image processing device and electronic equipment and belongs to the field of image processing. The method comprises the steps of obtaining an image and a depth value of each pixel point of the image; determining a concern point of the image; for each pixel point of the image, determining the type of the pixel point according to the distance between the pixel point and the concern point and the difference value of the depth value of the pixel point and the depth value of the concern point, wherein the type comprises a background sample point and a foreground sample point; according to a preset image processing method, processing the pixel points corresponding to the background sample point and / or the foreground sample point. According to the image processing method, the image processing device and the electronic equipment, the problems that a blurring region is not reasonable to determine and the blurring effect is not good in a background blurring processing mode which is related to a background technology are solved, the foreground and the background of the image are precisely divided, and when the image processing method is applied to the backing blurring processing, the blurring region is more reasonable to determine, and the blurring effect is improved.

The embodiment of the invention provides an image correction method, comprising the steps of obtaining at least one piece of lens offset of an electronic device, wherein the electronic device comprises a first camera and a second camera, and the first camera or the second camera has an optical image stabilization (OIS) mode; synchronously obtaining images collected by the electronic device throughthe first camera and the second camera in the OIS mode, and calculating image offset corresponding to the at least one piece of lens offset according to a preset OIS calibration function and the synchronously obtained lens offset; and carrying out line-by-line calibration on the collected images through utilization of the image offset. Correspondingly, the embodiment of the invention provides animage correction device. The image offset problem resulting from an OIS function when double-camera photographing is carried out in the prior art is solved.

A method for applying a bokeh effect on an image at a user terminal is provided. The method for applying a bokeh effect may include: receiving an image and inputting the received image to an input layer of a first artificial neural network model to generate a depth map indicating depth information of pixels in the image; and applying the bokeh effect on the pixels in the image based on the depth map indicating the depth information of the pixels in the image. The first artificial neural network model may be generated by receiving a plurality of reference images to the input layer and performing machine learning to infer the depth information included in the plurality of reference image.

The embodiment of the invention discloses a depth image correction method, terminal equipment and a computer storage medium. The depth image correction method comprises the steps: obtaining an original image corresponding to a target object and a main color image and an auxiliary color image corresponding to the target object, wherein the original image is obtained by collecting a target object according to a time-of-flight TOF sensor, and the main color image and the auxiliary color image are obtained by collecting the target object according to double cameras; according to the main color image and the auxiliary color image, determining first depth information and first confidence corresponding to the target object by using a preset double-camera algorithm; determining second depth information corresponding to the target object according to the original image; determining an error data area in the first depth information based on the first depth information, the second depth information and the first confidence coefficient; and performing correction processing on the error data area through the second depth information and the main color image to obtain target depth information, and obtaining a depth image according to the target depth information.

The application relates to an image processing method and device, a mobile terminal and a computer readable storage medium. The method comprises the following steps: acquiring depth of field information of a to-be-processed image; determining an interested region of the to-be-processed image, and selecting a first depth of field range corresponding to the interested region according to the depth of field information; determining a second depth of field range of a to-be-blurred region in the to-be-processed image according to the first depth of field range; and performing the blurring processing on the to-be-blurred region according to the second depth of field range. The above-mentioned image processing method and device, the mobile terminal and the computer readable storage medium can improve the blurring effect, so that the visual display effect of the blurred image is better.

Embodiments of the invention provide an image blurring processing method and apparatus, a storage medium and an electronic device. The image blurring processing method comprises the following steps: obtaining a main image and an auxiliary image obtained by double cameras by shooting the same object; obtaining depth data and depth confidence data according to the main image and the auxiliary image,wherein the depth data indicate depth values of corresponding pixel points in the main image and the auxiliary image, and the depth confidence data indicate the confidence of the depth values in thedepth data; correcting at least one depth value in the depth data according to the depth confidence data; and performing blurring processing on the main image according to the corrected depth data. Byadoption of the technical scheme of the invention, the accuracy of the obtained depth data can be effectively improved, thus improving the blurring effect of the main image.

The invention relates to an image blurring method and device, an electronic device and a readable storage medium, and the method comprises the steps: obtaining a target image; generating a depth imageof the target image based on a preset depth prediction model; wherein the depth prediction model is a convolutional neural network model obtained through training of training images of known depth maps under N scene types, and N is a natural number; and performing blurring processing on each pixel point in the target image according to the depth image to obtain a blurred image of the target image. The image blurring method solves the technical problems that an image blurring method in the prior art is high in requirement for hardware equipment, not ideal in blurring effect and the like. The technical effects of reducing the hardware equipment requirement of image blurring and improving the blurring effect are achieved.

The invention discloses an image information desensitization method and device, terminal equipment and a storage medium, and the method comprises the steps: employing an HTML5 technology to convert animage to be desensitized into an initial image in a canvas form; performing sensitive information detection on the initial image to obtain sensitive characters in the initial image, and obtaining a sensitive area corresponding to each sensitive character; determining a to-be-desensitized area according to the sensitive area corresponding to each sensitive character; carrying out blurring processing on the to-be-desensitized area of the initial image to obtain an initial desensitized image; and carrying out edge blurring on the initial desensitization image to obtain a target desensitization image. According to the method, the image sensitive information and the sensitive information edge are subjected to blurring processing, so that the desensitization effect is improved, and the securityof the image information is further improved.

The invention discloses an image background blurring method. The method comprises the steps that a first image and a second image are subjected to downsampling processing separately, and a first downsampling image and a second downsampling image are obtained; a depth image is obtained according to the first downsampling image and the second downsampling image; the far point depth and the near point depth are obtained through calculation according to the depth image; the blur circle radius corresponding to each pixel is calculated; the first downsampling image is blurred according to the blur circle radius of each pixel, and the blurred first downsampling image is obtained; the blurred first downsampling image is subjected to upsampling to have the same size as the first image and serves asa first blurred image; the first blurred image and the corresponding first image are blended, and the first image obtained after a background is blurred is obtained. The invention discloses a mobileterminal used for executing the blurring method.

The embodiment of the invention discloses a picture processing method, applied to a terminal with a single camera. The picture processing method comprises the following steps: receiving a focusing operation on the picture to be shot; confirming the focusing area in the picture to be shot according to the focusing operation; performing virtual processing on the area except the focusing area of the picture to be shot, and displaying the virtual picture to be shot. The embodiment of the invention also discloses a terminal at the same time.

The invention discloses a housing assembly for an electronic device and an electronic device. The housing assembly comprises a shell, a first camera, a second camera, and a drive element. A light-transmitting part is arranged at the shell and has a width direction and a thickness direction perpendicular to the width direction. The first camera, the second camera, the drive element are arranged in the shell. The first camera has a first light entrance part and a first optic axis; and the first optic axis extends along the thickness direction. The second camera has a second light entrance part and a second optic axis; and the second optic axis extends along the thickness direction. And the drive element is connected with the second camera to drive the second camera to move along the width direction. According to the housing assembly, the second camera is driven to move so as to adjust the distance between the first camera and the second camera. Therefore, the center deviation of the visual angle can be reduced; the ranging precision of the depth of field can be improved; the background blurring effect can be improved; and thus the imaging effect of the electronic device can be enhanced.

The invention discloses a method for determining a disparity map in binocular virtualization. The method applied to a mobile terminal comprises: a first camera obtains a first image and a second camera obtains a second image; distortion correction is carried out on the first image and stereo correction is carried out on the first image after distortion correction to obtain a reference image; distortion correction is carried out on the second image and stereo correction is carried out on the second image after distortion correction to obtain a registration image; an optical flow of the registration image relative to the reference image is calculated and a vector angle of the optical flow is calculated based on the optical flow; whether the vector angle of the optical flow exceed a preset angle threshold is determined; and if the vector angle of the optical flow is greater than the preset angle threshold, stereoscopic matching is carried out the reference image and the registration imageto obtain a disparity map of the reference image and the registration image. Besides, the invention also provides a mobile terminal and a computer-readable storage medium. Therefore, the effect of background blurring is improved.

The invention discloses an optical lens, a camera module and electronic equipment. The optical lens comprises a first lens element, a second lens element, a third lens element, a fourth lens element, a fifth lens element and a sixth lens element which are sequentially arranged from an object side to an image side along an optical axis. The first lens element with positive refractive power has a convex object-side surface and a concave image-side surface, respectively. The second lens element with negative refractive power has a convex object-side surface and a concave image-side surface, respectively. The sixth lens element with negative refractive power has a concave image-side surface. The optical lens satisfies the following relation: 1.3 mm < Imh^2 / TTL / Fno < 1.42 mm, wherein TTL is the distance from the object-side surface of the first lens to the imaging surface of the optical lens on the optical axis, Imgh is half of the length of a diagonal line of an effective pixel area on the imaging surface of the optical lens, and Fno is the number of apertures of the optical lens. According to the optical lens, the camera module and the electronic equipment provided by the invention, the picture quality of the optical lens can be improved while the optical lens is designed to be light, thin and miniaturized, and the resolution and the imaging definition of the optical lens are improved.

The embodiment of the invention provides neural network training and image processing methods and devices, a computer readable storage medium and electronic equipment. The neural network training method comprises the steps that first convolution processing is carried out on a training sample image through a neural network system, a first segmentation result of foreground background segmentation ofthe training sample image is obtained, second convolution processing is carried out on the first segmentation result, and a second segmentation result of foreground background segmentation of the training sample image is obtained; according to the difference between a labeling segmentation result of the foreground background segmentation of the training sample image and the first segmentation result and the difference between the labeling segmentation result and the second segmentation result, the neural network system is trained. By means of the technical scheme, the image foreground background segmentation accuracy can be effectively improved, and the high processing speed is guaranteed so that the effect of monocular vision blurring processing can be effectively improved.

The invention provides a ToF-based microspur focusing method. The method is suitable for a shooting device with a ToF camera and an RGB camera with a zooming function, and comprises the following steps: S1, adjusting a viewing frame to align to a to-be-shot three-dimensional scene in a microspur mode, S2, obtaining a depth image of the three-dimensional scene through the ToF camera, and obtainingdepth information and an object contour of an object in the three-dimensional scene through calculation, S3, determining a shooting main body in the three-dimensional scene through a preview functionof the RGB camera, and S4, controlling the RGB camera to focus on the shooting main body according to the distance between the shooting main body and the ToF camera acquired by the ToF camera. Compared with the prior art, the ToF-based microspur focusing method provided by the invention has the advantages that the focusing speed is high, the outline of the object in the shot image is clear and accurate, and the accuracy of the blurring effect is ensured, so that the shooting effect is improved. The invention also provides a ToF-based microspur shooting method and device.

The invention provides an image processing method and a mobile terminal. The method comprises the following steps that: determining the first position coordinate of a datum point on a first image to be processed; according to the movement state of the mobile terminal, obtaining an auxiliary parameter related to the movement of the mobile terminal; according to the first position coordinate and the auxiliary parameter of the datum point, determining the blurred area of the first image to be processed; and carrying out blurring processing on the blurred area of the first image to be processed. Therefore, according to the movement of the mobile terminal, the blurred area of the image to be processed is determined, and the blurring effect of the image to be processed can be effectively improved especially for the images to be processed with an irregular area to be blurred.

Embodiments of the invention disclose an image blurring method and a terminal. The method comprises the steps of obtaining a current image and performing human face detection on the current image to obtain a to-be-detected human face image; performing skin color detection on the to-be-detected human face image to obtain a non-skin-color region of the to-be-detected human face image; and performing blurring processing on the non-skin-color region to obtain a target image. According to the method and the terminal, the current image is subjected to the human face detection and the skin color detection firstly, and then the detected non-skin-color region is subjected to the blurring processing to different degrees, so that the current image can be blurred without a sample, and the blurring efficiency and effect are improved.

Embodiments of the invention disclose an image blurring method and terminal. The method includes the steps of acquiring a target image; determining a skin color range threshold of the target image; determining a skin color region of the target image according to the skin color range threshold; and subjecting a non skin color region other than the skin color region in the target image to blurring processing. The accuracy of the skin color detection can be increased, and thus the image blurring effect is improved.

The invention discloses a camera component and electronic equipment. The camera component comprises a static camera, a moving camera and a driving part, wherein the moving camera can move relative to the static camera to adjust the distance between the moving camera and the static camera, and the driving part is connected with the moving camera to drive the moving camera to move. According to the camera component disclosed by the invention, the distance between the static camera and the moving camera can be adjusted, and thus the center deviation of viewing angles can be reduced, the ranging accuracy effect of the depth of field can be improved, the background blurring effect can be improved, and the imaging effect of the camera component can be further enhanced.

The invention relates to the technical field of image processing, and provides an image blurring processing method and device. The method comprises the following steps: determining a first part of pixels in a to-be-processed image according to a pixel value adjustment threshold of the to-be-processed image, wherein the pixel value of the first part of pixels is greater than the pixel value adjustment threshold of the to-be-processed image; performing first processing on all pixels of the to-be-processed image so as to increase the pixel value of the first part of pixels; performing fuzzy processing on all pixels of the to-be-processed image after the first processing; and performing second processing corresponding to the first processing on all pixels of the to-be-processed image after thefuzzy processing, so that the pixel values of the first part of pixels after the fuzzy processing are reduced, and an image after the blurring processing of the to-be-processed image is obtained. According to the method, the brightness loss of the high-brightness region of the to-be-processed picture in the fuzzy processing process can be effectively reduced, so that the blurring effect of the image is improved.

The embodiment of the invention discloses an image processing method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: performing face recognition on a first image to obtain face information of each face contained in the first image; generating a weight mask according to a portrait mask of the first image and the face information, wherein the weight mask is used for determining a face clear area corresponding to each face in the first image and a portrait fuzzy transition area corresponding to each face; acquiring a blurred image and a background blurred image corresponding to the first image; fusing the blurred image and the background blurred image according to the weight mask to obtain a second image. According to the image processing method and device, the electronic equipment and the computer readable storage medium, the problem that all portrait areas in an image are clear and no highlighted key points exist can be avoided, and the visual display effect of the image is improved.

The embodiment of the invention discloses a video processing method and device, a computer storage medium and a terminal device. The method comprises: acquiring a to-be-processed video sequence; wherein the to-be-processed video sequence comprises a reference frame and at least one to-be-processed video frame; matching the reference frame with the at least one to-be-processed video frame, and determining a to-be-blurred object corresponding to each to-be-processed video frame in the at least one to-be-processed video frame; and in each to-be-processed video frame, carrying out blurring processing on the determined to-be-blurred object.

The embodiment of the invention discloses an image blurring method and device, a terminal and a storage medium. The method comprises: acquiring a first image collected by a first camera lens in doublecameras and a second image collected by a second camera in the double cameras, wherein the first image and the second image are frame synchronous images; Determining depth information of each featurepoint in the first image according to the first image and the second image; And performing blurring processing on the first image according to the depth information of each feature point in the firstimage. Depth information of the first image is determined through the first image and the second image, blurring processing is carried out on the first image according to the depth information, foreground and background information of the image can be fully obtained, and therefore blurring of different degrees is carried out, and the image blurring effect is improved.

The invention discloses a housing assembly for an electronic device and an electronic device. The housing assembly comprises a shell, a first camera, a second camera, a limiting element and a drive element. A light-transmitting part is arranged at the shell; and the first camera, the second camera, the limiting element and the drive element are arranged in the shell. The first camera has a first light entrance part and a first optic axis; the first light entrance part is opposite to the light-transmitting part; and the first optic axis extends along the thickness direction. The second camera has a second light entrance part and a second optic axis; the second light entrance part is opposite to the light-transmitting part; and the second optic axis extends along the thickness direction. The second camera can move along the width direction. The limiting element is used for limiting the position of the second camera; and the drive element is connected with the second camera to drive the second camera to move. With the housing assembly, the center deviation of the visual angle can be reduced; the ranging precision of the depth of field can be improved; the background blurring effect can be improved; and thus the imaging effect of the electronic device can be enhanced.

The invention provides a shooting device, a diaphragm adjustment method and electronic equipment. The shooting device comprises a diaphragm component and a voltage control unit, wherein the diaphragm component comprises a plurality of electronic control films; the electronic control films are sequentially superposed according to aperture values of the electronic control films; and the voltage control unit is electrically connected with the electronic control films, and applies a corresponding voltage signal to the electronic control films according to a received diaphragm adjustment signal, so that the diaphragm component forms a diaphragm corresponding to the diaphragm adjustment signal. The shooting device is simple in structure, and can improve the shooting quality.

The invention discloses an image processing method and device, and belongs to the technical field of image processing. The image processing method comprises the steps that a first image and a second image are acquired, and the first image and the second image are two images of the same shooting scene captured by a first camera and a second camera of the electronic equipment; determining sparse depth maps of the first camera and the second camera according to the first image and the second image; obtaining a dense depth map of the image of the shooting scene; according to the dense depth map, adjusting the depth of pixel points in the sparse depth map to obtain a target depth map; and according to the target depth map, performing blurring processing on a target image, the target image being one of the first image and the second image.

The invention provides an image processing method and device based on structured light and a mobile terminal. The method comprises the following steps of acquiring a visible light image of the imagingobject; acquiring depth data indicated by the structured light image of the imaging object; according to the depth data, identifying a first imaging region of an imaging object in the visible light image, and identifying a second imaging region of the article to be worn by the imaging object; according to the relative positions of the first imaging region and the second imaging region, determining an operation region of the image processing operation in the visible light image; performing image processing operation on the operation region. According to the method, the image processing operation can be achieved when the image processing is under beauty mode, so that fuzzy imaging of objects worn by the subject can be prevented, and therefore the display effect of the worn articles can be improved. When the image processing operation is background blurring, fuzzy imaging of objects worn by the subject can be prevented, so that the blurring effect of the visible light image is improved.Meanwhile, the imaging effect of the imaging photo can be improved.

The invention relates to the technical field of image processing, provides a photographing method and electronic equipment, and aims to solve the problem of poor image blurring effect. The method comprises the steps that a first image shot by a first camera is acquired, a second camera is controlled to rotate and acquire an image, and a second image acquired when the second camera rotates to the same direction as the first camera is acquired; and performing fusion processing on the first image and the second image based on the target object in the first image to output a third image. The second image is acquired by rotating the rotatable second camera to the same direction as the first camera, the image acquired by the camera in the rotating process is easily blurred, and the second imageis acquired by the second camera, so that the authenticity of the second image can be ensured. The first image and the second image are fused through the target object, image blurring is achieved, theauthenticity of the area outside the target object in the third image can be ensured, and the blurring effect is improved.