Abstract: An apparatus, a computer readable medium to instruct a process to implement a method, and a method of reducing blocking artifacts and/or noise in an image that has been compressed by a block-based encoding process. The method includes deblocking the image using overlapped forward directional transforms, the overlapped forward directional transforms including directional selecting to filter across horizontal and vertical boundaries, denoising the image, in one version edge detecting to classify individual pixels as to whether or not they belong to edge features, and generating output pixels by locally adapting to whether the pixels are in block boundaries, and/or include edge features.

Abstract: A process for detecting the edges of collimator blades in digital radiography images in the first pass detects the edges of the collimator blades using original image, and the in the second pass repeats edge detection using an image enhanced by a histogram matching technique, for example. The edge detection using an enhanced image may also be repeated any number of times in cases of complex anatomy or when selected radiographic techniques does do not provide sufficient imaging data. The results of the second pass, or the collection of the results of multiple second passes, are then combined with the result from the first pass to form a list of the potential blade edge candidates. A desirable number of edges are then selected from the combined list to form a polygon which encloses the target area of the image, thereby providing the shutter area.

Abstract: Superresolution image processing that can be applied when two image frames of the same scene are available so that image information from one frame can be used to enhance the image from the other frame. The superresolution image processing uses a sparse matrix generated based on a Markov random field defined over these two image frames. The sparse matrix is inverted and applied to the image data from the image frame that is being enhanced to generate a corresponding enhanced image.

Abstract: A signal processing device includes a preprocessing unit interpolating a G color component to positions of a pixel of interest and a pixel having the same color component as the pixel of interest so as to produce a first G interpolation signal; a proximity G pixel G color difference and R/B pixel producing unit producing a first R-G/B-G color difference signal on the positions of the pixel of interest and the pixel having the same color component, producing a second R-G/B-G color difference signal on a position of a proximity G pixel, and interpolating the R/B color component to the position of the proximity G pixel; a G color difference re-constitution processing unit re-constituting a third R-G/B-G color difference signal on the position of the pixel of interest; and a G color difference interpolation processing unit interpolating an R-G/B-G color difference signal to a position of a predetermined pixel.

Abstract: A plurality of representative filters are held, and weight vectors containing weight values for the respective representative filters as components are acquired for respective pixels which form an image. The respective representative filters act on the respective pixels which form the image, and the results of the action are weighted with the weight vectors and added.

Abstract: Apparatus and a method for processing image data where row data is received corresponding to a target row of pixels and to one or more reference rows of pixels. A target row average is generated based on the target row data and a reference row average is generated for each of the one or more reference rows based on each reference row's respective row data. A row correction value is generated based on the target row average of the target row and the reference row average of the one or more reference rows. Corrected target row data is generated by applying the row correction value to the target row data.

Abstract: Circuits, systems, and methods for processing outlier pixels include a spatial filter and a temporal filter. The spatial filter is configured to compute a pixel difference for each pixel as a function of a pixel value of the pixel and pixel values of nearby pixels within each frame. The spatial filter is configured to dynamically add the pixel to a candidate list when the pixel difference exceeds a threshold value. The temporal filter dynamically removes a pixel from the candidate list when there is a divergence of a pixel value of the pixel in successive frames. The temporal filter determines a pixel in the candidate list is an outlier pixel when there is no such divergence in the successive frames.

Abstract: A video processor includes a spatio-temporal noise reduction controller to determine current and previous image edge slopes and adaptively control a spatio-temporal noise reduction processor to blend current and previous images dependent on the current and previous image edge slope values.

Abstract: A method and an apparatus for single-image-based rain streak removal are introduced herein. In this method and apparatus, an original image is decomposed into a high frequency part and a low frequency part, and the high frequency image is then decomposed into a rain part and a non-rain part. The non-rain high frequency image and the original low frequency image are used to produce a non-rain image.

Abstract: Systems, methods, and media for identifying and selecting data images in a video stream are provided. In accordance with some embodiments, methods for identifying and selecting data images in a video stream are provided, the methods comprising: receiving a video bit stream representing a plurality of images; identifying, using a processor programmed to do so, sets of data images in the plurality of images, wherein each of the data images provides an image representation of data and each of the data images in any of the sets of data images corresponds to a single data image; and selecting at least one best data image from the sets of data images using a processor programmed to do so.

Abstract: A blend unit in a display pipe for processing pixels of video and/or image frames may include multiple blend stages, where each blend stage may include multiple levels for blending pixels according to a blend equation. The blending operation includes blending pixel color values and Alpha values. A multiplication may be performed at each blend level, necessitating Alpha value normalizations in the form of divisions to obtain pixel color values having a specified bit-length. Color value normalizations are not needed when the desired result is an actual color value. In order to reduce the compounding of errors that may result from the introduction of an error at each division, Alpha value normalizations may not be performed at each blend level, carrying the intermediate results forward in fractional form—through one or multiple blend stages—until the end of the blending operation.

Abstract: In an image processing device, the processor performs: (a) setting, as target pixel data, each set of pixel data; (b) selecting, from among the plurality of sets of pixel data, a plurality of first sets of pixel data corresponding to a plurality of first pixels positioned within a prescribed range of the image; (c) determining whether the plurality of first sets of pixel data represents a white background; (d) determining whether a variation in color difference components among the plurality of first sets of pixel data satisfies a prescribed condition; and (e) determining that target pixel data includes mosquito noise when the plurality of first sets of pixel data represents the white background and when the variation in the color difference component among the plurality of first sets of pixel data satisfies the prescribed condition. The prescribed range includes a pixel corresponding to the target pixel data.

Abstract: A system, apparatus, or method is provided for imaging and for capturing visuals to provide image manipulation options for increasing resolution of subject images. A system, apparatus or method for increasing resolution of subject images using a camera to deliver unexposed photographic emulsion or a digital image and to generate images of greater resolution by modifying digital images or modifying digital and emulsion images.

Abstract: For each of a plurality of homogeneity regions in relative pixel space, a deviation associated therewith with respect to a pixel to be filtered is given by a sum of associated difference values, each difference value given by the absolute value of a difference between a value of a pixel to be filtered and that of a neighboring pixel selected in accordance with the selected homogeneity region. The filtered pixel value is responsive to values of the neighboring pixels for the homogeneity region with minimum deviation. The relative pixel locations of each homogeneity region are symmetric relative to a radially-extending axis extending outwards in a corresponding polar direction therealong from a relatively central pixel location to a boundary of the homogeneity region, including all relative pixels intersected by the radially-extending axis, different homogeneity regions being associated with different polar directions.

Abstract: In one aspect, a method of detecting at least on feature associated with a blood vessel in at least one image of at least one blood vessel using a matched filter adapted to respond to the at least one feature is provided. The method comprises applying a scale detection filter to selected voxels in the at least one image to determine a scale for the matched filter at each of the selected voxels, determining an orientation for the matched filter at each of the selected voxels, wherein determining the orientation is assisted by using the scale determined at each of the selected voxels, applying the matched filter at each of the selected voxels at the scale and the orientation determined at each of the selected voxels to obtain a filter response at each of the selected voxels, and analyzing the filter response at each of the selected voxels to determine if the respective voxel corresponds to the at least one feature.

Abstract: In at least one embodiment of the invention, an apparatus for adaptive edge enhancement of a video signal includes a transient improvement module. The transient improvement module is configured to generate a first adjusted pixel value based on a window of pixel values for pixels surrounding a pixel-of-interest initially having an input pixel value. The apparatus includes an adaptive peaking module configured to generate a second adjusted pixel value based on the first adjusted pixel value and the input pixel value. In at least one embodiment of the apparatus, the adaptive peaking module comprises a high-pass filter configured to generate a pixel adjustment based on the first adjusted pixel value. In at least one embodiment of the apparatus, the adaptive peaking module further comprises a gain path configured to apply at least one adaptive gain value to the pixel adjustment to generate an adaptive adjustment value.

Abstract: A computer implemented that, in various aspects, transforms a grayscale image into an OCR image by applying a combination of steps to the grayscale image is disclosed herein. The grayscale image may include one or more alphanumeric characters. The grayscale image may includes visual content displayed upon a computer screen, so that the grayscale image may have a resolution generally equivalent to a screen resolution of the computer screen prior to application of the combination of steps thereto. The resultant OCR image, in various implementations, is of sufficient resolution and quality that an OCR engine can generally recognize alphanumeric characters imbedded within the OCR image.

Abstract: An image processing apparatus includes a calculation section configured to calculate filtering coefficients of a filter with a first area in an image that is partitioned into multiple first areas including the first area, the image being partitioned differently into multiple second areas, each one of which being covered by several first areas, to calculate a convoluted image of a second area using the filtering coefficients calculated with the first areas covering a part of the second area, the calculation being executed for the several first areas covering distinct parts of the second area, respectively; and an interpolation section configured to interpolate a pixel in the second area using pixels at the same position in the convoluted images of the second area which are convoluted with the respective filtering coefficients.

Abstract: A system, circuit, and methods for increasing speed of an asynchronous pulse processing based hyperspectral target detection algorithm are disclosed. Stored optimized filter coefficients are used to provide initial filter coefficients. The initial filter coefficients are optimized using an asynchronous pulse processor based hyperspectral detection algorithm to provide optimized filter coefficients, and the optimized filter coefficients are stored.

Abstract: In general, in one embodiment, low-light noise is removed from an image by separately filtering luma and chroma components of the image, by adaptively filtering the image based at least in part on a Gaussian distribution of the image, and/or by dividing the image into separate regions and filtering each region separately.

Abstract: A method for reducing specular reflection in an image. The method includes capturing a first exposure of a scan surface using a first of a plurality of light sources, capturing a second exposure of a scan surface using a second of a plurality of light sources, determining which pixels captured by the light sources are speckles, and replacing a value of at least one speckle in the image with a different pixel value.

Abstract: According to an aspect of the invention, an image processing apparatus includes a generating unit, a calculating unit, a receiving unit, and a changing unit. The generating unit generates a plurality of histograms of images with respect to each color based on an input image. The calculating unit calculates a plurality of first image densities of the images from the histograms. The receiving unit receives a content of image quality adjustment performed on the input image. The changing unit changes one of the histograms based on the content of the image quality adjustment. The one of the histogram corresponds to one of the images on which the image quality adjustment is performed. The calculating unit calculates a second image density corresponding to the one the images based on the one of the histogram changed by the changing unit.

Abstract: An image processing apparatus includes a distance calculating unit that calculates a distance between first and second distributions, wherein the first distribution is a distribution of pixel values of pixels surrounding a focus pixel included in an image, the second distribution is a distribution of pixel values of pixels surrounding a pixel included in a window that includes the focus pixel at the center, and the second distribution is obtained for each pixel included in the window; a coefficient calculating unit that calculates, using the distance between the first and second distributions, a filter coefficient for each pixel included in the window; and a filter processing unit that calculates a correction value for the focus pixel by performing a filter process on each pixel included in the window using the filter coefficient.

Abstract: An image processing apparatus in which output pixels of an output image are generated with respect to input pixels of an input image, a first subset of the output pixels being identical to respective input pixels and a second subset of the output pixels being derived from respective groups of one or more input pixels. The apparatus includes a spatial filter arrangement for filtering the second subset of pixels, the filter not being applied to filter the first subset of output pixels, the filter arrangement having a response such that high spatial frequencies are attenuated in the output image.

Abstract: Provided is an image processing apparatus including an infinite impulse response (IIR) mean value calculation section for calculating a mean value of signal values of reference pixels around a correction target pixel according to an IIR filter application process, an IIR variance value calculation section for calculating a variance value of the signal values of the reference pixels around the correction target pixel according to the IIR filter application process, an edge-preserving smoothing processing section for receiving the mean and variance values of the reference pixels and executing an edge-preserving smoothing process to which the mean and variance values are applied, and an IIR filter coefficient calculation section for updating an IIR filter coefficient to be applied to the IIR mean value calculation section and the IIR variance value calculation section according to a signal value of a pixel constituting an image.

Abstract: A method for detecting a block raster in an image comprising a number of pixels, each of which having assigned at least one pixel value, said pixels being arranged one after the other along horizontal and vertical pixel boundaries. The method includes establishing a first raster with raster limits (xj+dxj) that run either parallel to the vertical pixel boundaries or to the horizontal pixel boundaries and, the position of said limits being predetermined by way of an offset (OF) and an opposite distance (SP). A raster scale is determined of the raster as a function of the edge scales of at least some of the raster limits (xj,+dxj). The method is repeated for a second raster, and the first or second raster is selected in consideration of the raster scales.

Abstract: An information processing apparatus performs first filter processing to combine pixels of an image along a predetermined direction. A line noise image is extracted by executing second filter processing for the processed image along a direction different from the predetermined direction. The extracted line noise image is subtracted from the image to acquire a line noise reduced image.

Abstract: A system and method captures a moving image of a scene that can be more readily de-blurred as compared to images captured through other methods operating on equivalent exposure-time intervals. Rather than stopping and starting the light measurement during the exposure-time interval, photo-generated current is switched between multiple charge storage sites in accordance with a temporal switching pattern that optimizes the conditioning of the solution to the inverse blur transform. By switching the image intensity signal between storage sites all of the light energy available during the exposure-time interval is transduced to electronic charge and captured to form a temporally decomposed representation of the moving image.

Abstract: A depth noise filtering method and apparatus is provided. The depth noise filtering method may perform spatial filtering or temporal filtering according to depth information. In order to perform spatial filtering, the depth noise filtering method may determine a characteristic of a spatial filter based on depth information. Also, in order to perform temporal filtering, the depth noise filtering method may determine a number of reference frames based on depth information. The depth noise filtering method may adaptively remove depth noise according to depth information and thereby enhance a noise filtering performance.

Abstract: A method includes generating a first principle bilateral filtered image component from a source image. The first principle bilateral filtered image component corresponds to a second pixel value of a set, the second pixel value greater than or equal to a first pixel value. The method includes selectively updating a result pixel of a result image based on the first principle bilateral filtered image component and deallocating the first principle bilateral filtered image component. After deallocating the first principle bilateral filtered image component, a second principle bilateral filtered image component is generated from the source image. The second principle bilateral filtered image component corresponds to a third pixel value. The third pixel value is greater than the second pixel value. The third pixel value is less than or equal to a fourth pixel value. The result pixel is selectively updated based on the second principle bilateral filtered image component.

Abstract: An image processing method includes the steps of generating a first image through restoration processing of an amplitude component and a phase component of an input image, generating a second image that has an equal state of the phase component to that of the first image and a different state of the amplitude component from that of the first image through restoration processing of the phase component without restoration processing of the amplitude component of the input image, obtaining difference information between the first image and the second image, setting a restoration level adjustment factor used to adjust a restoration degree in the restoration processing, and generating a restoration adjusted image by composing the difference information with the second image according to the restoration level adjustment factor.

Abstract: An image processing system includes a multiresolution decomposition section for frequency decomposing an image signal into high and low frequency components at an nth stage, a correction coefficient calculation section for calculating at least one of a gradation correction coefficient, a noise correction coefficient, and an edge correction coefficient with respect to the high frequency component at an ith decomposition stage (1?i?n) based on at least one of the low frequency component at the ith decomposition stage, a visual system adaptation model, a noise amount estimation model, and an edge enhancement model, a correction section for correcting the high frequency component based on the calculated correction coefficient, and a multiresolution composition section for composing the image signal corrected based on the low frequency component and the corrected high frequency component.

Abstract: An apparatus of reducing noise includes: an edge determining module determining whether each pixel of an image corresponds to an edge; a low pass filter module performing low pass filtering of the image in two directions and performing low pass filtering only for the pixel determined not to be the edge; a filter selecting module selecting a filter having a flexible size to be applied to a mask region for each of the images low pass filtered based on the average brightness of the entire region and the average brightness of the mask region having a predetermined size; a sigma filter module sigma filtering the mask region using the selected filter for each of the images low pass filtered; and an averaging module averaging the image sigma filtered in the two directions.

Abstract: The value of a median or other rank of interest in a dataset is efficiently determined. Each active bit of the dataset is serially processed to compute one bit of the output value from each bit of the input dataset. If any sample in the dataset has an active bit that differs from the determined output value for that bit, then that sample can be marked as no longer in consideration. After an active bit has been processed, the data for that bit may be discarded or subsequently ignored. These techniques allow the rank value to be efficiently determined using pipelined logic in a configurable gate array (CGA) or the like. Further implementations may be enhanced to compute clipped means, to identify “next highest” or “next lowest” values, to reduce quantization errors through less-significant bit interpolation, to simultaneously process multiple values in a common pipeline, or for any other purpose.

Abstract: This disclosure describes techniques for initially calibrating an image capture device. According to one aspect, the calibration includes calibrating parameters of an image filter for resolving the captured image. The method includes receiving a captured image of a test target and resolving the captured image using a set of initial parameters. A sharpness index of the resolved image is determined without matching the captured image to the test target. The sharpness index is used to minimize a cost function for determining parameters for use by the image capture device.

Abstract: A method of processing a digital image. The method comprises: populating (100) a bilateral grid (10) comprising a plurality of cells (20), based on information obtained from the image, each cell comprising at least one value; then cumulatively integrating (110) the at least one value over the bilateral grid to form an integrated grid comprising integrated values; generating (120) a modified bilateral grid, comprising computing the sum of the at least one value over a predetermined rectangular box of cells of the bilateral grid, by using the integrated values corresponding to the corners of the box; and slicing (130) the modified bilateral grid to generate an output image.

Abstract: Systems and methods for region of interest background smoothing & compression enhancement in accordance with embodiments of the invention are disclosed. In one embodiment, preprocessing video with a smoothing filter includes identifying a region of interest in a frame of video, determining an importance value for the region of interest, when the importance value satisfies a criterion, applying an intra frame smoothing filter to pixels within the region of interest, which includes dividing the specified region of interest into pairs of pixel groupings, where the pixel groupings in each pair are the same size and are adjacent to each other, calculating the difference between the average luminance of the pixels within each pixel grouping, when the calculated difference is less than a predetermined amount: calculating the average luminance for all pixels in the pixel groupings, and assigning the calculated average luminance to all pixels within the pixel groupings.

Abstract: The screened printing data are subjected to a filtering method, the raster information being maintained. Intermediate tonal values are produced by the filtering method, using the binary tonal values, the intermediate tonal values being configured in such a way that, by means of a color space transformation, transformed tonal values and/or intermediate tonal values can be formed which represent a true-to-color proof.

Abstract: A method for measuring the relative local position error of one of the sections of an object that is exposed section by section, in particular of a lithography mask or of a wafer, is provided, each exposed section having a plurality of measurement marks, wherein a) a region of the object which is larger than the one section is imaged in magnified fashion and is detected as an image, b) position errors of the measurement marks contained in the detected image are determined on the basis of the detected image, c) corrected position errors are derived by position error components which are caused by the magnified imaging and detection being extracted from the determined position errors of the measurement marks, d) the relative local position error of the one section is derived on the basis of the corrected position errors of the measurement marks.

Abstract: In an example embodiment, a system and method is illustrated that includes receiving a layering instruction that includes an image, the image including a layer. Further, the system and method includes generating a sub layer through filtering the layer, the sub layer including a property of the layer. Additionally, the system and method includes editing the property to create an edit, the edit including a change to the property of the layer. Also the system and method includes storing the edit into the sub layer as an edit associated with the sub layer. A system and method is also shown to receive a layered image that includes an image layer stack, the image layer stack including an image with a layer and a sub layer, and an edit associated with the sub layer. The system and method also includes displaying the layered image in a display area.

Abstract: An image processing device includes a component separation section configured to separate an original image signal into a plurality of components including a first component that is a framework component and a second component obtained from a residue corresponding to the original image signal from which the first component has been excluded, an edge information acquisition section configured to obtain edge information from the first component included in the plurality of components, a fluctuation-component reduction section configured to reduce a fluctuation component at least of the second component included in the plurality of components, a parameter acquisition section configured to acquire a parameter for the fluctuation-component reduction section based on the obtained edge information, and a component synthesis section configured to synthesize the first component and the component other than the first component in which the fluctuation component has been reduced.

Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.

Abstract: A compressive imaging (CI) device for attenuating noise. The CI device may acquire samples during steady state portions of pattern modulation periods, avoiding the disturbing effect of transients that occur at pattern transitions. A CI device may acquire and then average multiple samples per spatial pattern to reduce (deterministic and/or random) zero-mean noise. A CI device may apply a filter to the photodetector signal in the analog domain and/or in the digital domain to attenuate noise components, e.g., noise due to electromagnetic interference.

Abstract: This disclosure pertains to systems, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image processing routines, e.g., image filters, in a way that provides a seamless, dynamic, and intuitive experience for both the user and the software developer. Such techniques may handle the processing of both “relative” gestures, i.e., those gestures having values dependent on how much an input to the device has changed relative to a previous value of the input, and “absolute” gestures, i.e., those gestures having values dependent only on the instant value of the input to the device. Additionally, inputs to the device beyond user-input gestures may be utilized as input parameters to one or more image processing routines. For example, the device's orientation, acceleration, and/or position in three-dimensional space may be used as inputs to particular image processing routines.

Abstract: Systems, methods and computer readable media for image enhancement using learned non-photorealistic effects. In some implementations, a method can include obtaining an original image. The method can also include analyzing the original image to determine one or more characteristics of the original image. The method can further include selecting one or more filters based on the one or more characteristics and applying the one or more filters to the original image to generate a modified image. The method can include causing the modified image to be displayed.

Abstract: The invention produces a higher quality image from a rendering system based on a relationship between the output of a rendering system and the parameters used to compute them. Specifically, noise is removed in rendering by estimating the functional dependency between sample features and the random inputs to the system. Mutual information is applied to a local neighborhood of samples in each part of the image. This dependency is then used to reduce the importance of certain scene features in a cross-bilateral filter, which preserves scene detail. The results produced by the invention are computed in a few minutes thereby making it reasonably robust for use in production environments.

Abstract: A video display pipe used for processing pixels of video and/or image frames may include edge Alpha registers for storing edge Alpha values corresponding to the edges of an image to be translated across a display screen. The edge Alpha values may be specified based on the fractional pixel value by which the image is to be moved in the current frame. The video pipe may copy the column and row of pixels that are in the direction of travel, and may apply the edge Alpha values to the copied column and row. The edge Alpha values may control blending of the additional column and row of the translated image with the adjacent pixels in the original frame, providing the effect of the partial pixel movement, simulating a sub-pixel rate of movement.

Abstract: The color gamut of display devices like digital projectors and digital displays is expanded by incorporating additional passband filters into the optical path of the devices to produce presentations of color components in two different color gamuts. The composite visual effect of the two presentations is a presentation in an expanded color gamut. Special considerations in the modulation of color components of the image can reduce variations in color and brightness, which can otherwise manifest themselves as flicker.

Abstract: An image processing apparatus according to the present invention, comprises: a motion detection unit that detects a motion vector from an input image; a determination unit that determines whether an image is moving in each pixel in use of the detected motion vector, and determines whether a motion pixel, about which determination has been made that the image is moving therein, exists in a predetermined range from a still pixel about which determination has been made that the image is not moving therein; and a correction unit that performs correction processing to decrease at least one of high frequency components, contrast, and luminance for the still pixel about which determination has been made that a motion pixel exists in the predetermined range.

Abstract: In a method or system for trapping print data with a plurality of respective objects, the objects being individually transferred into a bit map pixel file, at least one overfill is determined for the respective object relative to color regions bordering the respective object in the pixel file according to predetermined trapping rules. The object and the at least one overfill are inserted into the pixel file, wherein the object and the overfill are rastered in the pixel file upon insertion.