Abstract: An image processing device is provided. The image processing devices includes an input part configured to input an input image; a cutout part configured to cut out a plurality of image regions from the input image input by the input part; and a luminance change part configured to execute luminance change of each of the image regions cut out by the cutout part.

Abstract: There is provided a method, a non-transitory computer readable medium, and a system for measuring a pattern. The method can include (a) obtaining an electron image of an area of a sample, the area comprises the pattern, the electron image comprises multiple lines; each line comprises information obtained by moving an electron beam over a scan line; (b) generating a converted image by applying a noise reduction kernel on the electron image, the noise reduction kernel has a width that represents a number of consecutive lines of the electron image; the width is determined based on relationships between analysis results obtained when using noise reduction kernels of different widths; and (c) analyzing the converted image to provide a pattern measurement.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating output images. One of the methods includes obtaining data specifying (i) a partitioning of the H by W pixel grid of the output image into K disjoint, interleaved sub-images and (ii) an ordering of the sub-images; and generating intensity values sub-image by sub-image, comprising: for each particular color channel for each particular pixel in each particular sub-image, generating, using a generative neural network, the intensity value for the particular color channel conditioned on intensity values for (i) any pixels that are in sub-images that are before the particular sub-image in the ordering, (ii) any pixels within the particular sub-image that are before the particular pixel in a raster-scan order over the output image, and (iii) the particular pixel for any color channels that are before the particular color channel in a color channel order.

Abstract: Embodiments for providing adversarial protection to computing display devices by a processor. Security defenses may be provided on one or more image display devices against automated media analysis by using adversarial noise, an adversarial patch, or a combination thereof.

Abstract: An image processing circuit includes a receiving circuit, a feature fetching module and a decision circuit. In the operations of the image processing circuit, the receiving circuit is configured to receive image data. The feature fetching module is configured to use a multi-topological-convolutional network to fetch the features of the image data, to generate a plurality of image features determined by the characteristics and weights of the convolution filter, where the image features may be smooth features or edge features. In the present invention, the convolution filters used by the feature fetching module are not limited by a square convention filter, and the convolution filters may include the multiple topological convolutional network having non-square convolution filters. By using the multiple topological convolutional network of the present invention, the feature fetching module can fetch the rich image features for identifying the contents of the image data.

Abstract: A display device is provided including a much sensor including a touch controller and a display panel overlapped by the touch sensor and configured to display an image. A display panel driver is, electrically connected to the display panel and configured to supply a driving signal to the display panel. The display panel driver is electrically connected to the touch controller and is configured to transmit a noise sensing signal to the touch controller.

Abstract: An image fusing method includes converting a first image into a first intermediate image, converting a second image into a second intermediate image including a plurality of components, fusing one of the plurality of components of the second intermediate image with the first intermediate image to obtain a fused component, and combining the fused component and other ones of the plurality of components of the second intermediate image to obtain a target image.

Abstract: Implementations relate to detecting/replacing transient obstructions from high-elevation digital images. A digital image of a geographic area includes pixels that align spatially with respective geographic units of the geographic area. Analysis of the digital image may uncover obscured pixel(s) that align spatially with geographic unit(s) of the geographic area that are obscured by transient obstruction(s). Domain fingerprint(s) of the obscured geographic unit(s) may be determined across pixels of a corpus of digital images that align spatially with the one or more obscured geographic units. Unobscured pixel(s) of the same/different digital image may be identified that align spatially with unobscured geographic unit(s) of the geographic area. The unobscured geographic unit(s) also may have domain fingerprint(s) that match the domain fingerprint(s) of the obscured geographic unit(s).

Abstract: Techniques are disclosed relating to identifying types of user interface components based on one or more existing user interfaces. The disclosed techniques may include, for example, determining a plurality of visible elements of a graphical user interface, based on user interface code. Additionally, techniques include determining coordinates for bounding boxes for ones of the plurality of visible elements, based on the user interface code. Disclosed techniques may also include grouping the visible elements into at least first and second groups and determining types of elements within the first and second groups. The techniques also include, in response to detecting a match between the types of elements within the first and second groups, determining a similarity metric for the first and second groups based on the coordinates of determined bounding boxes within the first and second groups.

Abstract: A medical imaging apparatus for processing a frame of a digital video signal, the apparatus includes an image sensor assembly, a frame replication device, a frame modification controller, and a video encoder. The image sensor assembly generates a first video signal having a first frame rate. The frame replication device replicates pixels of a respective frame of the first video signal to produce at least one replicated frame. The frame modification controller randomly modifies at least some of the respective pixels in the at least one replicated frame resulting in at least one modified replicated frame. The video encoder outputs a second video signal based on the at least one modified replicated frame.

Abstract: Restoring a degraded frame resulting from reconstruction of a source frame is described. A method includes generating, using first restoration parameters, a first guide tile for a degraded tile of the degraded frame, determining a projection parameter for a projection operation, and encoding, in an encoded bitstream, the first restoration parameters and the projection parameter. The projection operation relates differences between a source tile of the source frame and the degraded tile to differences between the first guide tile and the degraded tile.

Abstract: The present invention relates to intra prediction which may be performed during encoding and/or decoding of an image signal. In particular, the present invention relates to intra prediction of a current block, during which filtering is applied to the prediction signal and/or to signal used for the prediction. The filtering is applied in accordance with a decision based on characteristics of image signal included in block(s) spatially adjacent to the current block.

Abstract: An image processing apparatus and a method capable of reducing an amount of codes in encoding or decoding. A type setting unit uses a deblocked pixel value to set a type of a filter which is common between components of Y, Cb, Cr in units of LCUs, and provides the type to a syntax write unit. An offset setting unit uses a deblocked pixel value to set an offset independent for each of components of Y, Cb, Cr in units of LCUs. An SAO control information setting unit provides the offset or a merge flag, which is set by referring to the offset given by the offset setting unit, to the syntax write unit. The present disclosure can be applied to, for example, an image processing apparatus.

Abstract: The present disclosure relates to an image processing apparatus and a method capable of reducing an amount of codes in encoding or decoding. A type setting unit uses a deblocked pixel value to set a type of a filter which is common between components of Y, Cb, Cr in units of LCUs, and provides the type to a syntax write unit. An offset setting unit uses a deblocked pixel value to set an offset independent for each of components of Y, Cb, Cr in units of LCUs. An SAO control information setting unit provides the offset or a merge flag, which is set by referring to the offset given by the offset setting unit, to the syntax write unit. The present disclosure can be applied to, for example, an image processing apparatus.

Abstract: A method is described that includes instantiating, within an application software development environment, a virtual processor having an instruction set architecture and memory model that contemplate first and second regions of reserved memory. The first reserved region is to keep data of an input image array. The second reserved region is to keep data of an output image array. The method also includes simulating execution of a memory load instruction of the instruction set architecture by automatically targeting the first reserved region and identifying desired input data with first and second coordinates relative to the virtual processor's position within an orthogonal coordinate system and expressed in the instruction format of the memory load instruction.

Abstract: Techniques and tools for sub-block transform coding are described. For example, a video encoder adaptively switches between 8×8, 8×4, and 4×8 DCTs when encoding 8×8 prediction residual blocks; a corresponding video decoder switches between 8×8, 8×4, and 4×8 inverse DCTs during decoding. The video encoder may determine the transform sizes as well as switching levels (e.g., frame, macroblock, or block) in a closed loop evaluation of the different transform sizes and switching levels. The encoder and decoder may use different scan patterns for different transform sizes when scanning values from two-dimensional blocks into one-dimensional arrays, or vice versa. The encoder and decoder may use sub-block pattern codes to indicate the presence or absence of information for the sub-blocks of particular blocks.

Abstract: An image processing apparatus that is capable of applying suitable contour correction even to an object in a luminance range where gradation is corrected. A gradation correction unit performs a gradation correction process to an image obtained as a result of photographing. A contour correction unit performs a contour correction process that corrects a contour of an object in the image. A detection unit detects a luminance range where the gradation correction unit performs the gradation correction process in the image. A suppression unit suppresses the contour correction process in the luminance range that is detected by the detection unit when the contour correction unit performs the contour correction process.

Abstract: The present invention relates to intra prediction which may be performed during encoding and/or decoding of an image signal. In particular, the present invention relates to intra prediction of a current block, during which filtering is applied to the prediction signal and/or to signal used for the prediction. The filtering is applied in accordance with a decision based on characteristics of image signal included in block(s) spatially adjacent to the current block.

Abstract: A method is described that includes instantiating, within an application software development environment, a virtual processor having an instruction set architecture and memory model that contemplate first and second regions of reserved memory. The first reserved region is to keep data of an input image array. The second reserved region is to keep data of an output image array. The method also includes simulating execution of a memory load instruction of the instruction set architecture by automatically targeting the first reserved region and identifying desired input data with first and second coordinates relative to the virtual processor's position within an orthogonal coordinate system and expressed in the instruction format of the memory load instruction.

Abstract: The invention consists in a method of and a device for temporal filtering of disparity maps of n different frames, each map indicating the disparity of pixels of 3D images comprising the steps of marking the stationary pixels and the non stationary pixels and implementing temporal filter for stationary pixels, detecting limitations for temporal filtering corresponding to a variation of moving pixels above a determined threshold value and automatically de-activating the temporal filters as response to the detected limitations for temporal filtering.

Abstract: Systems and methods for performing convolution operations. An example processing system comprises: a processing core; and a convolver unit to apply a convolution filter to a plurality of input data elements represented by a two-dimensional array, the convolver unit comprising a plurality of multipliers coupled to two or more sets of latches, wherein each set of latches is to store a plurality of data elements of a respective one-dimensional section of the two-dimensional array.

Abstract: The present invention relates to intra prediction which may be performed during encoding and/or decoding of an image signal. In particular, the present invention relates to intra prediction of a current block, during which filtering is applied to the prediction signal and/or to signal used for the prediction. The filtering is applied in accordance with a decision based on characteristics of image signal included in block(s) spatially adjacent to the current block.

Abstract: In one system embodiment, an overlapped block processing module configured to provide three-dimensional (3D) denoising of plural frames corresponding to a raw video sequence; and a frame alignment module configured to represent the raw video sequence with motion compensated frames corresponding to the raw video sequence, the motion compensated frames consisting of the plural frames and fewer in quantity than the quantity of frames of the raw video sequence, the plural frames based on prior temporally matched frames corresponding to the raw video sequence.

Abstract: An adjunctive ultrasound mammography system and associated methods use an adjunctive ultrasound display configured for quick, intuitive, interactive viewing of volumetric ultrasound scans, displayed near a conventional x-ray mammogram display. Preferred navigations among a thick-slice image array, a selected enlarged thick-slice image, and planar ultrasound views are described, including a mode in which the planar ultrasound views are updated in real time as a cursor is moved across an active thick-slice image. In one example the thick-slice images are inverted prior to display, with non-breast areas of the image preferably segmented out and reset to dark. The inverted thick-slice images are of more familiar significance to radiologists as they are more like conventional x-ray mammograms and allow benign features to be more easily dismissed as compared to non-inverted thick-slice images.

Abstract: An image is sharpened by using a frequency component exceeding a Nyquist frequency. In particular, an image processing apparatus 100 of the disclosure herein for generating an output image by sharpening an input image includes a first nonlinear processing unit 101 configured to generate a first signal by carrying out nonlinear processing on an input image signal representing the input image, a sharpening processing block 102 configured to generate a second signal containing a frequency component higher than a frequency component contained in the first signal by carrying out sharpening processing on the first signal, and an adder 103 configured to generate an output image signal representing the output image by adding the second signal to the input image signal.

Abstract: Implementations relate to adjusting images using a texture mask. In some implementations, a method includes detecting one or more texture regions having detected texture in an image, and generating a mask from the image based on the detected texture regions. The detected texture regions are distinguished in the mask from other regions of the image that do not have detected texture. The method applies one or more adjustment operations to the image in amounts based on values of the mask.

Abstract: Method and system for detecting objects of interest in a camera monitored area are disclosed. Statistical analysis of block feature data, particularly Sobel edge and spatial high frequency responses is used to model the background of the scene and to segregate foreground objects from the background. This technique provides a robust motion detection scheme prone to catching genuine motions and immune against false alarms.

Abstract: A method and apparatus for detecting an image edge that detects an edge area from an input image is disclosed. The method of detecting the image edge includes removing noise of an input image, generating an intermediate image in which an edge area is accentuated based on the input image and the input image from which the noise is removed, determining a threshold value to be applied to the intermediate image through clustering the pixels of the intermediate image, and detecting an edge area from the intermediate image based on the threshold value.

Abstract: In one system embodiment, an overlapped block processing module configured to provide three-dimensional (3D) denoising of plural frames corresponding to a raw video sequence; and a frame alignment module configured to represent the raw video sequence with motion compensated frames corresponding to the raw video sequence, the motion compensated frames consisting of the plural frames and fewer in quantity than the quantity of frames of the raw video sequence, the plural frames based on prior temporally matched frames corresponding to the raw video sequence.

Abstract: A system includes a data storage configured to store a model human visual system, an input module configured to receive an original picture in a video sequence and to receive a reference picture, and a processor. The processor is configured to create a pixel map of the original picture using the model human visual system. A first layer is determined from the pixel map. A weighting map is determined from a motion compensated difference between the original picture and the reference picture. A processed picture is then determined from the original picture using the weighting map and the first layer.

Abstract: Devices, systems, methods, and other embodiments associated with reducing digital image noise are described. In one embodiment, a method includes filtering a digital image with a plurality of adaptive filters, wherein the plurality of adaptive filters include a first filter configured to filter noise surrounding one or more edges in the digital image, and a second filter configured to filter noise caused by a block based encoding of the digital image. The method further includes reducing a compression artifact from selected pixels in the digital image, wherein the compression artifact is reduced by (i) combining an output from the first filter and an output from the second filter in response to the digital image being determined to be blocky, and (ii) not combining the output from the first filter with the output of the second filter in response to the digital image not being determined to be blocky.

Abstract: An image processing method for processing an input image is provided. The image processing method includes: performing a plurality of first imaging processing operations on the input image to generate a first image; and performing a plurality of second imaging processing operations on the first image. Each of the first imaging processing operations is along a first direction, and the plurality of first imaging processing operations include a first scaling operation for increasing resolution. Each of the second imaging processing operations is along a second direction different from the first direction, and the plurality of second imaging processing operations include a second scaling operation for increasing resolution.

Abstract: Systems and methods may provide for conducting a real-time perceptual quality analysis of a video, wherein the perceptual quality analysis includes at least one of a noise measurement, a contrast measurement and a sharpness measurement. One or more strength parameters of one or more post-processing modules in a video processing pipe may be set based on the perceptual quality analysis resulting in overall video processing that adapts to the changing perceptual quality of the input. In one example, the strength parameters include at least one of a contrast parameter and a de-noising parameter. The invention results in visually enhanced video at the output of the post-processing module.

Abstract: A method of multi-frame image noise reduction suitable for an image-capturing device includes following steps: obtaining a current frame and multiple reference frames; defining a mask and a target point in the mask; judging whether the target point pixel of the current frame is on an edge according to an edge map of the frame; when the pixel is on the edge, using the pixels in the reference frames on the edge to calculate a replacement result; when the target point pixel is not on the edge, using the pixels in the reference frames surrounding the target point to calculate a replacement result; after that, generating a pixel corresponding to the position of the target point in an output image according to the replacement result; further, moving the mask and going back to judge whether the pixel of the target point of the current frame is on the edge.

Abstract: Image or video from a cell phone is processed to expand the image in a way to display it on a high definition video screen.

Abstract: An image display apparatus which divides the 1-frame period of input image data into a plurality of periods and displays image data in the respective divided periods separates high frequency component data by using the input image data, and distributes the amplitude of the high frequency component data for the image data in the respective divided periods to make the amplitude of the separated high frequency component data fall within a difference between the gradation of the input image data, and 0 gradation or the maximum gradation of an image.

Abstract: The disclosed method includes: carrying out scale conversion for a first pixel value of each of a plurality of pixels included in an image to generate a second pixel value of the plurality of pixels; applying a reaction-diffusion equation including a diffusion element and a reaction element that is set according to at least the number of types of regions to be extracted, to the second pixel value of each of plural pixels within a certain region of the image a predetermined number of times to generate a third pixel value of each of the plurality of pixels included in the image; and carrying out scale inverse-conversion that is inverse-conversion of the scale conversion, for the third pixel value of each of the plurality of pixels included in the image to generate a fourth pixel value of the plurality of pixels.

Abstract: A method and system are provided in which a processor, such as a video processor, may determine a flatness value for a current video picture and may adjust a mosquito noise filtering of a subsequent video picture based on the determined flatness value. The flatness value may be determined within a predetermined region of the current video picture, which may be dynamically modified by the processor. The flatness value may be associated with the presence of analog noise in the current video picture, and may be determined based on horizontal and vertical variance values determined for one or more portions of the current video picture. The processor may adjust a mosquito noise strength value of the current video picture based on the determined flatness value and may adjust the mosquito noise filtering of the subsequent video picture based on the adjusted mosquito noise strength value of the current video picture.

Abstract: According to one embodiment, a method is disclosed. The method includes performing a local content analysis on video data to classify pixels into singular pixels, motion pixels and static pixels.

Abstract: A data processing device includes a clock converter, a data converter, and an error detector. The clock converter is configured to receive a first clock signal, convert the first clock signal into a second clock signal, and output the second clock signal. The data converter is configured to receive first data, convert the first data into second data using the second clock signal, and output the second data. The error detector is configured to check whether the first clock signal is in a first clock state or a second clock state upon the first data transitioning to a first data state, and output an enable signal to the clock converter upon determining that the first clock signal has transitioned to the first clock state from the second clock state.

Abstract: Systems and methods for generating a detail-enhanced video signal are provided. In a method for generating the detail-enhanced video signal, an input video signal is received. A first signal that is a linear transformation of the input video signal is generated. A detail signal is generated by determining a difference between the input video signal and the first signal, where the detail signal includes information that is added to the input video signal to generate the detail-enhanced video signal. A filtered detail signal is generated by removing noise from the detail signal. The filtered detail signal is multiplied by a gain function to generate a second signal. The gain function is based on an amount of variance in the input video signal. The input video signal and the second signal are combined to generate the detail-enhanced video signal.

Abstract: A method for applying filters to digital images with minimal amplification of image noise, comprising filtering the digital image with an EPDR edge-preserving detail-reducing filter, determining a matrix from the filtered image as a result of one or more structure adaptive functions, and modifying the digital image using the filter, adjusted by the matrix values, to produce an enhanced digital image. The order of processing may be inverted, by first determining the matrix and then filtering the matrix with the edge-preserving detail-reducing filter.

Abstract: An image processing circuit and a method thereof are provided herein. The image processing circuit has a first scaling circuit, one or more line buffers, a first sharpness circuit, a second scaling circuit, and a second sharpness circuit. The first scaling circuit enlarges an input image along a first direction to generate a first enlarged image. The one or more line buffers temporarily store the pixel values of a plurality of pixel rows of the first enlarged image. The first sharpness circuit vertically sharpens the first enlarged image to generate a first sharpened image. The second scaling circuit enlarges the first sharpened image along a second direction to generate a second enlarged image. The second sharpness circuit horizontally sharpens the second enlarged image to generate a second sharpened image. Accordingly, it is possible to use the one or more line buffers having shorter data lengths to perform the vertical sharpening.

Abstract: A method for displaying a video which is dithered using related masks and a video display apparatus applying the same, the video display apparatus dithering a video signal using a first mask, performing color-processing with respect to the video signal, and dithering the color-processed video signal using a second mask which is related to the first mask. Accordingly, dithering is performed using related masks, thus preventing poor gradation of video signal.

Abstract: A system includes a data storage configured to store a model human visual system, an input module configured to receive an original picture in a video sequence and to receive a reference picture, and a processor. The processor is configured to create a pixel map of the original picture using the model human visual system. A first layer is determined from the pixel map. A weighting map is determined from a motion compensated difference between the original picture and the reference picture. A processed picture is then determined from the original picture using the weighting map and the first layer.

Abstract: An image sharpness device and a method for the same are disclosed. The image sharpness device includes a DC removal unit, at least one filter, at least one noise estimation unit, at least one soft threshold processing unit, and a summing unit. The DC removal unit receives a luminance signal of a field of a frame and removes a DC component of the luminance signal. The filter passes a component of an output of the DC removal unit within a predetermined frequency band. The noise estimation unit estimates a noise value of the field. The soft threshold processing unit forms a sharpness signal according to the noise value. The summing unit sums the luminance signal and the sharpness signal to output a resultant luminance signal. The present invention is capable of avoiding the problem that a noise in the luminance signal is enhanced.

Abstract: A standalone or integrated electronic unit for selectively modifying audio or video data for use with an output device. The electronic unit has one or more audio or video inputs and one or more audio or video outputs for outputting the modified audio or video source material. The unit may include sensors, selectors, and/or logic for selecting from among a plurality of modification profiles and applies the selected profile to the audio or video source material before conveying it to the output device. The modification profile may be used to adapt an audio or video source for a specific type of audio or video playback or output device. For audio, the modification profile may be used to modify audio quality by altering the transfer function, and for video, the modification profile may be used to modify video quality by altering the visual characteristics of the video source signal.

Abstract: A projector includes an input unit which inputs an image signal, a projection unit which projects an achromatic luminance image and a chromatic image on the basis of the image signal input by the input unit, an image processing unit which performs a sharpening processing to emphasize a high-frequency component in the image signal in accordance with a sharpening parameter to the image signal input by the input unit, and a projection control unit which controls a luminance image projection time of the luminance image for the chromatic image projected in the projection unit, a value of the sharpening parameter and the luminance image projection time being associated with each other.

Abstract: A filter for a video stream is provided. The filter generates a filtered picture according to a current picture and its previous picture. A motion difference calculator accumulates differences between current picture values and previous picture values within a neighborhood of each pixel to provide a corresponding motion difference. A histogram counter performs histogram counting according to motion differences of the pixels. A filter value calculator provides a filter value for each pixel according to operations of the motion difference calculator and the histogram counter. A blender blends the current picture value and the previous picture value of each pixel according to weightings correlated to the filter value, and provides a filtered picture value for each pixel of the filtered picture.

Abstract: A system for edge enhancement includes an input unit to receive an input signal Yin, a vertical enhancement unit to perform a vertical enhancement of an edge of the input signal Yin to generate an output YEV, and a horizontal enhancement unit to perform a horizontal enhancement of the edge of the input signal Yin to generate an output YEH. The system also includes a local gradient analysis unit to generate a local gradient direction GradDir and a local gradient magnitude GradMag based at least partly upon the input signal Yin, and a mixer to generate an output Yout by mixing the output YEV with the output YEH using the local gradient direction GradDir. The system further includes an output unit to output the output Yout.