32 results about "Visual masking" patented technology

The present invention provides a method for reducing the visual impact of defects present in a matrix display comprising a plurality of pixels, said pixels comprising at least three sub-pixels, each sub-pixel intended for generating a sub-pixel colour which cannot be obtained by a linear combination of the sub-pixel colours of the other sub-pixels of the pixel, the method comprising: providing a representation of a human vision system, characterizing at least one defect sub-pixel present in the display, the defect sub-pixel intended for generating a first sub-pixel colour, the defect sub-pixel being surrounded by a plurality of non-defective sub-pixels, deriving drive signals for at least some of the plurality of non-defective sub pixels in accordance with the representation of the human vision system and the characterizing of the at least one defect sub-pixel, to thereby minimize an expected response of the human vision system to the defect sub-pixel, and driving at lease some of the plurality of non-defective sub-pixels with the derived drive signals, wherein minimizing the response of the human vision system to the defect sub-pixel comprises changing the light output value of at least one non-defective sub-pixel for generating another sub-pixel colour, said another sub-pixel colour differing from said first sub-pixel colour. The present invention also provides a corresponding system for reducing the visual impact of defects present in a matrix display, and a matrix display with reduced visual impact of defects present in the display.

The invention discloses a self-adaptive robust video watermarking method based on AVS (Audio Video Standard), which mainly solves the problems of high complexity, non-blindness, great gap between the current method and the AVS, and the like in the current method. When watermarks are embedded, a discrete cosine transformation low-frequency coefficient visual masking value corresponding to each subblock of video frame I is firstly calculated according to a Watson model; the energy of each subblock is sequenced in a descending order; and a large-energy subblock is selected as a watermark embedding position to be in secret key storage. Watermark embedding strength is controlled through the low-frequency coefficient visual masking value in a self-adaptive manner so as to embed the watermarks. When the watermarks are extracted, the embedded watermarking subblocks are found according to the secret key at first; and then the watermarks are extracted through comparing the relation between the subblock discrete cosine transformation low-frequency coefficient and a threshold value. In the invention, the watermark embedding and extracting arithmetic is simple; the embedding position and strength are self-adaptive; with better transparency, robustness and real-time property, the method belongs to original basic research work and meets the copyright protection needs of mass video products after the large-scale popularization and commercial application of the AVS; and the method has broad market application prospect.

The invention relates to a stereoscopic video asymmetric compression coding method based on human-eye visual characteristics, carrying out an improvement aiming to the problem that in the traditional asymmetric video coding, a viewpoint has higher quality, while another viewpoint has lower quality. The method comprises the following steps: applying the human-eye visual characteristic to the stereoscopic video compression coding; carrying out resolution switch at intervals by taking group of pictures (GOP) as a unit in a united multi-viewpoint video coding model through adopting an asymmetric coding method; alternately downsampling input image, so that each viewpoint crosswise contains the input image with high quality and the input image with lower quality; then carrying out the motion compensation predictive coding in the viewpoint, the parallax compensation predictive coding among the viewpoints point, and the united compesation predictive coding by combining the motion compensation predictive coding and the parallax compensation predictive coding; and selecting one with less prediction errors to be as a prediction mode, so as to improve the condition that if the viewpoint with lower quality is not the viewpoint where an observer plays a dominant role, the visual masking effect can be inoperative.

A touch panel providing a touch signal is disclosed. The touch panel includes a substrate, a first visual masking layer, an electrode layer, a metal material layer, and a second visual masking layer. The substrate has a surface. The first visual masking layer is disposed on at least one edge area of the surface. A part of the electrode layer is disposed at a display area on the surface adjacent to the edge area, and another part of the electrode layer covers at least a portion of the first visual masking layer. The metal material layer is disposed at the edge area and electrically connected with the electrode layer. The second visual masking layer is disposed at the edge area and stacked on the first visual masking layer. The said another part of the electrode layer is sandwiched between the first visual masking layer and the second visual masking layer.

Where images are displayed such that unintended light is also included and that light cannot be fully subtracted from the displayed image, an image processor compensates by compensating for the remaining light using perceptual models. In some cases, the perceptual model includes a plurality of user sensitivities and computation is performed, at least in part, based on expected user sensitivity to light pollution in portions of the images. The perceptual model might include a contrast sensitivity function, threshold-vs-intensity, saliency prediction and visual masking. The model might include artist indications of view attention. A light pollution likelihood map might be used to reduce the amount of computation needed, using a likelihood measure to determine an amount of computation to perform.

The invention provides a system for natural and objective assessment of a view function. The system comprises a host control unit, a display unit and a human-machine interactive unit, wherein the hostcontrol unit comprises a computing module, a judgment module, an adjustment module and a storage module; and the human-machine interactive unit comprises a receiving module and a feedback module. Thesystem for the natural and objective assessment of the view function is characterized in that a visual masking technology in a visual psychophysics basic research is changed and the system for the natural and objective assessment of the view function is provided for a testee, so a function level of a view can be assessed quantitatively. The system can be widely generalized to neuro-ophthalmic clinical diagnosis.

Video objective quality evaluation is one of important research points in QoE services in the future. The invention proposes a video quality evaluation method based on GoP scene complexity. Firstly, through analysis of a video sequence, separated frames and GoPs of a video are obtained. Through use of the obtained separated frames and GoPs, scene complexity and time-domain complexity of a Gop are obtained. According to the obtained scene complexity and time-domain complexity, an original quality and visual masking effect of the GoP are calculated respectively. According to the error masking effect, the objective quality of a single GoP is obtained. At last, a proposed weighting formula is used to perform weighting on a plurality of GoPs in the video so that the objective quality of the video sequence is obtained.

Where images are displayed such that unintended light is also included and that light cannot be fully subtracted from the displayed image, an image processor compensates by compensating for the remaining light using perceptual models. In some cases, the perceptual model includes a plurality of user sensitivities and computation is performed, at least in part, based on expected user sensitivity to light pollution in portions of the images. The perceptual model might include a contrast sensitivity function, threshold-vs-intensity, saliency prediction and visual masking. The model might include artist indications of view attention. A light pollution likelihood map might be used to reduce the amount of computation needed, using a likelihood measure to determine an amount of computation to perform.

Where images are displayed such that unintended light is also included and that light cannot be fully subtracted from the displayed image, an image processor compensates by compensating for the remaining light using perceptual models. In some cases, the perceptual model includes a plurality of user sensitivities and computation is performed, at least in part, based on expected user sensitivity to light pollution in portions of the images. The perceptual model might include a contrast sensitivity function, threshold-vs-intensity, saliency prediction and visual masking. The model might include artist indications of view attention. A light pollution likelihood map might be used to reduce the amount of computation needed, using a likelihood measure to determine an amount of computation to perform.

The invention discloses an objective analysis method for just noticeable change step length of stereo images. The objective analysis method comprises the following steps of: training each distorted stereo image in a distorted stereo image set by using different weight proportion combinations to obtain a support vector regression training model of the different weight proportion combinations; testing any test image by utilizing the support vector regression model obtained by training; in a condition that a left-view image has a constant and invariable quality, measuring a critical quality point of a right-view point image when the quality variation of the stereo image is sensed by human eyes so that a maximum variation range in which the quality of the right-view image can be decreased relative to the quality of the left-view image can be determined when the stereo image is coded. The objective analysis method not only can achieve the purpose of improving coding efficiency by decreasing quality of the right-view image, but also ensures that an observer cannot sense the reduction in the quality of the right-view image through a stereoscopic visual masking effect, thereby ensuring the integral quality of the stereo image.

The present invention provides a method for reducing the visual impact of defects present in a matrix display comprising a plurality of pixels, said pixels comprising at least three sub-pixels, each sub-pixel intended for generating a sub-pixel color which cannot be obtained by a linear combination of the sub-pixel colors of the other sub-pixels of the pixel, the method comprising: providing a representation of a human vision system, characterizing at least one defect sub-pixel present in the display, the defect sub-pixel intended for generating a first sub-pixel color, the defect sub-pixel being surrounded by a plurality of non-defective sub-pixels, deriving drive signals for at least some of the plurality of non-defective sub pixels in accordance with the representation of the human vision system and the characterizing of the at least one defect sub-pixel, to thereby minimize an expected response of the human vision system to the defect sub-pixel, and driving at least some of the plurality of non-defective sub-pixels with the derived drive signals, wherein minimizing the response of the human vision system to the defect sub-pixel comprises changing the light output value of at least one non-defective sub-pixel for generating another sub-pixel color, said another sub-pixel color differing from said first sub-pixel color. The present invention also provides a corresponding system for reducing the visual impact of defects present in a matrix display, and a matrix display with reduced visual impact of defects present in the display.

Some embodiments of the invention encode a sequence of video images based on “visual masking” attributes of the video images and / or portions of the video images. Visual masking of an image or a portion of the image is an indication of how much coding artifacts can be tolerated in the image or image portion. To express the visual masking attribute of an image or an image portion, some embodiments compute a visual masking strength that quantifies the brightness energy of the image or the image portion. In some embodiments, the brightness energy is measured as a function of the average luma or pixel energy of the image or image portion.

A low complexity visual masking method used as part of an image encoding process is described. The method is suitable for use in JPEG2000 image compression systems. Control weights used for rate allocation are generated based on integer order moments of wavelet transformed coefficients corresponding to a codeblock. The novel rate allocation weight generation method can, and in some embodiments is, combined with an apriori rate allocation algorithm, where allocation of bits to different portions of images is controlled as a function of one or more generated weights. The methods and apparatus of the present invention have the effect of increasing errors in busy areas of an image where they tend to be less noticeable and allocating a higher number of bits to less busy areas than some other systems, e.g., systems which attempt to minimize a mean squared error under a constraint of a user selected output rate.

A low complexity visual masking method used as part of an image encoding process is described. The method is suitable for use in JPEG2000 image compression systems. Control weights used for rate allocation are generated based on integer order moments of wavelet transformed coefficients corresponding to a codeblock. The novel rate allocation weight generation method can, and in some embodiments is, combined with an apriori rate allocation algorithm, where allocation of bits to different portions of images is controlled as a function of one or more generated weights. The methods and apparatus of the present invention have the effect of increasing errors in busy areas of an image where they tend to be less noticeable and allocating a higher number of bits to less busy areas than some other systems, e.g., systems which attempt to minimize a mean squared error under a constraint of a user selected output rate.

The invention provides a light-masking hydrophilic fiber and a preparation method thereof. The preparation method comprises the following steps: A1, dividing inorganic light-masking powder into a first part and a second part, blending the first part of powder, aromatic dibasic acid and aliphatic diol into mixed slurry, and performing esterification reaction on the mixed slurry, so as to form a pre-reaction melt; A2, adding aliphatic polyamide into the pre-reaction melt, performing polycondensation reaction, and cooling, so as to form a modified polyester material; A3, coating the surface of the second part of powder with a resin coating, so as to form composite master batch; A4, blending and melting the modified polyester material and the composite master batch, so as to obtain a hydrophilic group modified polyester melt containing the inorganic light-masking powder; A5, spinning and drafting the hydrophilic group modified polyester melt containing the inorganic light-masking powder, so as to obtain the light-masking hydrophilic fiber. The fiber prepared by the preparation method has good internal reflection light absorption effect, and high refractive index and hydrophilicity, and the prepared textiles have good visual masking effect and good skin adaptability.

The invention discloses a virtual viewpoint quality evaluation method based on a visual masking effect. According to the method, the types of virtual viewpoint rendering distortions are fully considered, offset compensation is performed on a virtual viewpoint image, the offset compensation process aims at special distortions such as a pixel point offset in the rendering of a virtual viewpoint, the affect of the pixel point position offset on the quality of the virtual viewpoint image is well eliminated, and thus subjective and objective quality results of the virtual viewpoint image are more accordant; the human visual characteristics are fully considered, a visual sensitive mask pattern of a reference image is extracted, the affect of distortion of a visual insensitive area in the virtual viewpoint image on the objective quality evaluation result is eliminated, and thus the objective quality evaluation result is more accordant with human visual characteristics; a distortion amplitude masking effect and a distortion distribution masking effect are fully considered, the distortion masking pattern of the virtual viewpoint image is computed for extracting areas with large distortion amplitudes and concentrated distortion distributions, and the affects of the distortions with different amplitudes and different distributions on the human visual subjective quality are effectively distinguished.

The general field of the invention relates to the binocular helmet-mounted display devices worn by aircraft pilots. In night use, one of the drawbacks of this type of device is that the uprights of the cockpit introduce significant visual masks into the field of the optical sensors. The method according to the invention is a method for eliminating these masks in the images presented to the pilot by graphics processing of the binocular images. It relies on the fact that, given the parallax, the uprights occupy, in two images from the left and right sensors, different positions. The comparison of the two images makes it possible to identify, and then eliminate, these masks, and finally to replace them with parts of images of the outside landscape.

The invention discloses a self-adaptive image watermark embedding method based on wavelet transformation and visual characteristics in the technical field of digital image information security. The self-adaptive image watermark embedding method includes the steps of performing grey processing on an image, calculating a comprehensive visual masking value of each pixel in the image, performing wavelet transformation on the image to obtain a low-frequency component wavelet coefficient, a high-frequency horizontal component wavelet coefficient, a high-frequency vertical component wavelet coefficient and a high-frequency diagonal component wavelet coefficient of each pixel in the image, calculating visual masking values of the low-frequency component wavelet coefficients and visual marking values of the high-frequency diagonal component wavelet coefficients respectively, averagely dividing a watermark sequence into two watermark sub-sequences, determining the positions where the low-frequency component wavelet coefficients are embedded into a watermark, embedding the low-frequency component wavelet coefficients into one watermark sub-sequence, determining the positions where the high-frequency diagonal component wavelet coefficients are embedded into a watermark, embedding the high-frequency diagonal component wavelet coefficients into the other watermark sub-sequence, and finally performing wavelet transformation to obtain the image with the watermarks embedded. According to the self-adaptive image watermark embedding method, invisibility and robustness of the watermarks are improved.

The invention relates to the fields of image processing and computer graphics, and aims at improving the image splicing quality by utilizing the visual significance and a masking effect, reducing image quality decrease caused by edge fracture, and obtaining a high-quality splicing and fusion image that satisfies the visual sense. In an image splicing and fusion method based on visual characteristics of the human eyes, an overlapped area of two images after matching is processed, and the area is searched for a splicing path by 1) searching the overlapped area for an area with a visual masking characteristic; 2) calculating the pixel weights of a smooth area and a texture area; 3) calculating the visual significance of the overlapped area; 4) solving the splicing path; and 5) using the path to complete image splicing. The image splicing and fusion method is mainly applied to image processing occasions.

The invention relates to a method for constructing a JND model of a screen image. Firstly, a text region of a screen image is obtained by using a text segmentation technology; secondly, extracting edge pixels of the text area, and dividing the screen image into a text edge area and a non-text edge area; calculating edge structure distortion sensitivity and edge contrast masking by utilizing the edge width and the edge contrast to obtain a text edge region visual masking model; calculating the brightness self-adaption and contrast masking effect of the non-text edge area to obtain a visual masking model of the non-text edge area; and finally, combining the visual masking models of the text edge area and the non-text edge area to obtain a screen image JND model. According to the method, factors such as screen image characteristics and different visual perception characteristics of human eyes to different areas of the screen image are fully considered, visual redundancy information of thescreen image is accurately estimated, and the method can be widely applied to the technical field of screen images.

The invention discloses a self-adaptive image watermark embedding method based on wavelet transformation and visual characteristics in the technical field of digital image information security. The self-adaptive image watermark embedding method includes the steps of performing grey processing on an image, calculating a comprehensive visual masking value of each pixel in the image, performing wavelet transformation on the image to obtain a low-frequency component wavelet coefficient, a high-frequency horizontal component wavelet coefficient, a high-frequency vertical component wavelet coefficient and a high-frequency diagonal component wavelet coefficient of each pixel in the image, calculating visual masking values of the low-frequency component wavelet coefficients and visual marking values of the high-frequency diagonal component wavelet coefficients respectively, averagely dividing a watermark sequence into two watermark sub-sequences, determining the positions where the low-frequency component wavelet coefficients are embedded into a watermark, embedding the low-frequency component wavelet coefficients into one watermark sub-sequence, determining the positions where the high-frequency diagonal component wavelet coefficients are embedded into a watermark, embedding the high-frequency diagonal component wavelet coefficients into the other watermark sub-sequence, and finally performing wavelet transformation to obtain the image with the watermarks embedded. According to the self-adaptive image watermark embedding method, invisibility and robustness of the watermarks are improved.

The invention provides a method and system for concentrating document data, which belong to the technical fields of computers and software. Compared with the prior art, the present invention includes a concentration area collection unit, a concentration mark setting unit, and a document concentration execution unit, wherein, through the concentration area collection unit, the area information that needs to be concentrated is collected; , to receive a condensed identifier representing the information of the condensed area; through the document condensing execution unit, the part of the document to be condensed is concealed, and the condensed identifier is displayed. In this way, the data part that needs to be concentrated in the document can be masked visually, which is more conducive to reading or editing, or other operational purposes.

The invention discloses a self-adaptive robust video watermarking method based on AVS (Audio Video Standard), which mainly solves the problems of high complexity, non-blindness, great gap between the current method and the AVS, and the like in the current method. When watermarks are embedded, a discrete cosine transformation low-frequency coefficient visual masking value corresponding to each subblock of video frame I is firstly calculated according to a Watson model; the energy of each subblock is sequenced in a descending order; and a large-energy subblock is selected as a watermark embedding position to be in secret key storage. Watermark embedding strength is controlled through the low-frequency coefficient visual masking value in a self-adaptive manner so as to embed the watermarks. When the watermarks are extracted, the embedded watermarking subblocks are found according to the secret key at first; and then the watermarks are extracted through comparing the relation between the subblock discrete cosine transformation low-frequency coefficient and a threshold value. In the invention, the watermark embedding and extracting arithmetic is simple; the embedding position and strength are self-adaptive; with better transparency, robustness and real-time property, the method belongs to original basic research work and meets the copyright protection needs of mass video products after the large-scale popularization and commercial application of the AVS; and the method has broad market application prospect.

The invention discloses a top-down just-noticeable distortion threshold estimation method for a natural image. The method comprises the following steps of: partitioning and vectorizing a grayscale image of a source image to obtain a vectorized matrix; obtaining a covariance matrix of the vectorization matrix and eigenvalues and eigenvectors of the covariance matrix, and arranging the eigenvectors from large to small according to the eigenvalues to obtain a KLT kernel; calculating a KLT coefficient matrix, KLT coefficient energy, normalized KLT coefficient energy and accumulated normalized KLT coefficient energy, and calculating a perceptual undistorted critical point according to a derived perceptual undistorted critical point calculation equation; constructing a perception undistorted coefficient reconstruction matrix, and reconstructing to obtain a perception undistorted coefficient matrix; converting vectors of each dimension in the perceptual distortion-free coefficient matrix into image blocks and splicing the image blocks again to obtain a perceptual distortion-free critical image, and further obtaining a just perceptible distortion threshold graph; the method has the advantages that the visual masking characteristic of a human visual system can be well reflected, and the visual perception redundancy of a natural image can be well described.

The present invention relates to a multi-user-oriented HDR video dynamic range scalable encoding method. First, considering the perception characteristics of HDR video, a dynamic range scalable model is proposed, which decomposes HDR videos of different dynamic range levels into a standard dynamic range video and Multiple residual signal frame sequences; then, combined with the brightness masking effect and human eye perception characteristics, quantize and filter multiple residual signal frame sequences, filter out scattered data points in the residual, and retain the residual signal frame sequence The overall difference information between adjacent dynamic range levels improves the coding efficiency of the residual signal frame sequence; finally, the standard dynamic range video and the HDR video of each dynamic range level are reconstructed at the decoding end to adapt to multi-client display devices. The method also utilizes the visual masking property to suppress the noise and improve the efficiency of the dynamic range scalable coding.

The invention discloses a virtual viewpoint quality evaluation method based on the visual masking effect, which fully considers the virtual viewpoint rendering distortion type and performs offset compensation on the virtual viewpoint image. The offset compensation process is aimed at special features such as virtual viewpoint rendering pixel point offset. Distortion, which effectively eliminates the impact of pixel position offset on the quality of the virtual viewpoint image, making the subjective and objective quality results of the virtual viewpoint image more consistent; fully considers the visual characteristics of the human eye, extracts the visually sensitive mask map of the reference image, and eliminates The influence of the distortion of the visually insensitive areas in the virtual viewpoint image on the objective quality evaluation results is made, so that the objective quality evaluation results are more consistent with the characteristics of the human eye; the distortion amplitude masking effect and the distortion distribution masking effect are fully considered to calculate the virtual viewpoint image The purpose of the distortion mask map is to extract areas with large distortion amplitudes and concentrated distortion distributions, and to effectively distinguish the effects of distortions of different amplitudes and distributions on the subjective quality of the human eye.

A touch panel providing a touch signal is disclosed. The touch panel includes a substrate, a first visual masking layer, an electrode layer, a metal material layer, and a second visual masking layer. The substrate has a surface. The first visual masking layer is disposed on at least one edge area of the surface. A part of the electrode layer is disposed at a display area on the surface adjacent to the edge area, and another part of the electrode layer covers at least a portion of the first visual masking layer. The metal material layer is disposed at the edge area and electrically connected with the electrode layer. The second visual masking layer is disposed at the edge area and stacked on the first visual masking layer. The said another part of the electrode layer is sandwiched between the first visual masking layer and the second visual masking layer.

The invention relates to the fields of image processing and computer graphics, and aims to improve the quality of spliced ​​images by utilizing visual salience and masking effects, reduce image quality degradation caused by edge fractures, and obtain visually high-quality spliced ​​and fused images. The technical solution adopted by the present invention is an image splicing and fusion method based on the visual characteristics of the human eye. The steps are as follows: process the overlapped area of ​​the two images after the matching operation processing, and search for the splicing path in this area: 1. Search in the overlapped area Regions with visual masking characteristics; 2. Find the pixel weights of smooth regions and texture regions; 3. Find the visual salience of overlapping regions; 4. Solve the stitching path; 5. Use this path to complete image stitching. The invention is mainly applied to image processing occasions.

The invention discloses an objective analysis method for just noticeable change step length of stereo images. The objective analysis method comprises the following steps of: training each distorted stereo image in a distorted stereo image set by using different weight proportion combinations to obtain a support vector regression training model of the different weight proportion combinations; testing any test image by utilizing the support vector regression model obtained by training; in a condition that a left-view image has a constant and invariable quality, measuring a critical quality point of a right-view point image when the quality variation of the stereo image is sensed by human eyes so that a maximum variation range in which the quality of the right-view image can be decreased relative to the quality of the left-view image can be determined when the stereo image is coded. The objective analysis method not only can achieve the purpose of improving coding efficiency by decreasing quality of the right-view image, but also ensures that an observer cannot sense the reduction in the quality of the right-view image through a stereoscopic visual masking effect, thereby ensuring the integral quality of the stereo image.

The invention provides a touch panel for providing touch signals. The touch panel includes a substrate, a first visual shielding layer, an electrode layer, a metal material layer and a second visual shielding layer. The substrate has a surface, and the first visual shielding layer is disposed on at least one edge region of the surface. A part of the electrode layer is disposed on the display area adjacent to the edge area on the surface, and another part of the electrode layer covers at least a part of the first visual shielding layer. The metal material layer is disposed on the edge area and is electrically connected to the electrode layer. The second visual shielding layer is disposed on the edge area and stacked on the first visual shielding layer. The other part of the electrode layer is interposed between the first visual shielding layer and the second visual shielding layer.