Abstract: An information processing apparatus for producing combined image data includes an image data acquiring unit that acquires two image data items a difference obtaining unit that obtains a difference in brightness between the data items a difference area identifying unit that identifies a difference area a surrounding brightness difference obtaining unit that obtains a difference between a brightness of the difference area and a brightness of an area located around the difference area a correction target area information producing unit that produces correction target area information which indicates a correction target area, in which one of the data items, having a greater difference obtained by the surrounding brightness difference obtaining unit, is used as the correction target area and a combined image data producing unit that produces the combined image data, based on the data items and the correction target area information.

Abstract: An image correction apparatus generates, for each pixel of a reduced image generated from an input image, a first smoothed image using each reference pixel in a filter area in which a difference obtained by subtracting a luminance value of the pixel from a luminance value of the reference pixel becomes less than a predetermined value, generates a second smoothed image using each reference pixel in the filter area in which the difference obtained by subtracting the luminance value of the reference pixel from the luminance value of the pixel becomes less than the predetermined value, and generates a smoothed image for correction of the input image based on the first smoothed image and the second smoothed image.

Abstract: Methods and systems for processing an input are disclosed that detect a portion of a hand and/or other detectable object in a region of space monitored by a 3D sensor. The method further includes determining a zone corresponding to the region of space in which the portion of the hand or other detectable object was detected. Also, the method can include determining from the zone a correct way to interpret inputs made by a position, shape or a motion of the portion of the hand or other detectable object.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry selects from a plurality of diffusion-weighted images with different applied directions of a motion probing gradient magnetic field pulse or different diffusion sensitive coefficients, a diffusion-weighted image that conforms to a predetermined condition. The processing circuitry configured to register the selected diffusion-weighted image with a reference image for which the diffusion sensitive coefficient being set to a reference value to correct the selected diffusion-weighted image. The processing circuitry configured to register the corrected diffusion-weighted image with each of the other diffusion-weighted images of the plurality of diffusion-weighted images to correct each of the other diffusion-weighted images.

Abstract: A method for capturing hyperspectral images using a regular color camera. In the method, the camera takes multiple images of a scene, with the camera oriented differently for each image. For a camera carried by an aircraft or spacecraft, this allows hyperspectral imaging without the cost or weight of a hyperspectral camera.

Abstract: A pixel power noise cancelling apparatus may include: a ramp signal generator suitable for generating a ramp signal according to control of a controller; a pixel power noise copy unit suitable for copying a pixel power noise of a pixel column of a pixel array to superimpose on the ramp signal fed from the ramp signal generator to the pixel column and output a ramp signal with added pixel power noise; and a comparator suitable for comparing a pixel signal output by the pixel column with the ramp signal with added pixel power noise from the pixel power noise copy unit.

Abstract: The present invention relates to an image compression method and apparatus, where the image compression method includes a step of performing amplitude decreasing processing on a frequency domain coefficient or a quantization coefficient of a to-be-processed image. The image compression method includes: determining a texture direction of the to-be-processed image; and performing amplitude decreasing processing on the frequency domain coefficient or the quantization coefficient of the to-be-processed image according to the texture direction, where the frequency domain coefficient is a coefficient obtained after the image is transformed, and the quantization coefficient is a coefficient obtained after the frequency domain coefficient is quantized.

Abstract: Embodiments of the present disclosure relate to a configurable convolution engine that receives configuration information to perform convolution or its variant operations on streaming input data of various formats. To process streaming input data, input data of multiple channels are received and stored in an input buffer circuit in an interleaved manner. Data values of the interleaved input data are retrieved and forwarded to multiplier circuits where multiplication with a corresponding filter element of a kernel is performed. Varying number of kernels with different sizes and sparsity can also be used for the convolution operations.

Abstract: The present invention provides a method for removing a haze in a single image. In the present invention, a transmission is estimated by using a dark channel prior obtained from a hazy input image. The estimated transmission includes a block artifact. In an exemplary embodiment of the present invention, in order to preserve an edge and remove the block artifact, a refined transmission value is obtained by performing WLS filtering by using an estimated transmission value and a morphologically-processed input image, the image is restored based on the refined transmission value, and then multi-scale tone manipulation image processing is performed.

Abstract: Image processing methods and systems apply filtering operations to images, wherein the filtering operations use filter costs which are based on image gradients in the images. In this way, image data is filtered for image regions in dependence upon the image gradients for the image regions. This may be useful for different scenarios such as when combining images to form a High Dynamic Range (HDR) image. The filtering operations may be used as part of a connectivity unit which determines connected image regions, and/or the filtering operations may be used as part of a blending unit which blends two or more images together to form a blended image.

Abstract: A capacitance sensing system can filter noise that presents in a subset of electrodes in the proximity of a sense object (i.e., finger). A capacitance sensing system can include a sense network comprising a plurality of electrodes for generating sense values; a noise listening circuit configured to detect noise on a plurality of the electrodes; and a filtering circuit that enables a filtering for localized noise events when detected noise values are above one level, and disables the filtering for localized noise events when detected noise values are below the one level.

Abstract: An organic light-emitting diode (OLED) display and method of driving the same are disclosed. In one aspect, the OLED display includes a display panel including a plurality of pixels and a data driver configured to apply a data signal to the display panel in one of two-dimensional (2D) and stereoscopic display modes. The display also includes a controller configured to convert an image signal to 2D image data for the pixels at each of N×k sub-fields in the 2D display mode and convert the image signal to stereoscopic image data for the pixels at each of N sub-fields in the stereoscopic display mode, where N and k are integers greater than 1. The display further includes a frame memory configured to store the 2D image data in the 2D display mode and the stereoscopic image data in the stereoscopic display mode.

Abstract: A plurality of video data pieces corresponding to one horizontal scan line of a display panel are classified into a first video data group and a second video data group different from the first video data group. Each piece of video data belonging to the first video data group is converted into a gradation voltage having an analog voltage value, and by interpolation based on each of the gradation voltages, a gradation voltage corresponding to each of the video data pieces belonging to said second video data group is obtained.

Abstract: Techniques related to quality restoration filtering for video coding are described.

Abstract: The present disclosure relates to methods and systems that may improve and/or modify images captured using multiscopic image capture systems. In an example embodiment, burst image data is captured via a multiscopic image capture system. The burst image data may include at least one image pair. The at least one image pair is aligned based on at least one rectifying homography function. The at least one aligned image pair is warped based on a stereo disparity between the respective images of the image pair. The warped and aligned images are then stacked and a denoising algorithm is applied. Optionally, a high dynamic range algorithm may be applied to at least one output image of the aligned, warped, and denoised images.

Abstract: A method is provided for processing image data for display by a multiple-view display device (24) so as to reduce the visibility of undesirable artefacts. Image pixel data are received (20, 21) representing the pixel brightnesses of respective images or sequences of images. The pixel data are processed (22) by applying a unidirectional filter. The processed pixel data for the images may then be interleaved (23) and supplied to the display device (24).

Abstract: An imaging device includes an imaging element, a weight calculating section, and an interpolation processing section. The imaging element includes normal pixels and functional pixels, the functional pixels being arranged at nonuniform intervals in a first direction. The weight calculating section calculates a first weight and a second weight, the second weight being smaller than the first weight. The interpolation processing section performs pixel interpolation to interpolate the pixel value of each of the functional pixels based on the pixel values obtained by the peripheral normal pixels where the first weight and the second weight are applied to a pixel value obtained by each of the normal pixels arranged in the first direction and a direction different from the first direction, respectively.

Abstract: Improvement of wafer surface inspection sensitivity includes acquiring a first inspection image from the surface of the wafer, generating a reference image by applying a thresholding function to the first image in order to isolate a speckle signal component of the first image induced by wafer surface roughness, acquiring one or more measurement inspection images from the surface of the wafer, and generating a difference image by subtracting the generated one or more reference images from the acquired one or more measurement inspection images.

Abstract: In a general aspect, an apparatus can include image processing logic (IPL) configured to perform an image processing operation on pixel data corresponding with an image having a width of W pixels and a height of H pixels to produce output pixel data in vertical slices of K pixels using K vertically overlapping stencils of S×S pixels, K being greater than 1 and less than H, S being greater than or equal to 2, and W being greater than S. The apparatus can also include a linebuffer operationally coupled with the IPL, the linebuffer configured to buffer the pixel data for the IPL. The linebuffer can include a full-size buffer having a width of W and a height of (S?1). The linebuffer can also include a sliding buffer having a width of SB and a height of K, SB being greater than or equal to S and less than W.

Abstract: A non-local means method is insufficient in its noise reduction effect or edge retainability due to a perfect match between blocks in a case where a reference pixel matches a target pixel. Therefore, information on a target region and plural reference regions is obtained for the target pixel. Whether the target region matches any one of the reference regions is determined from the obtained information. Switching between weight derivation methods based on similarity between the target region and the reference region is performed according to a determined result.

Abstract: An apparatus includes an input circuit configured to receive a sequence of pictures and a processing circuit. The processing circuit may be configured to (i) remap image data of a first picture based upon a respective picture brightness values for the first picture and a second picture selected from the sequence of pictures, and (ii) perform temporal filtering between the first picture and the second picture utilizing the remapped image data.

Abstract: This imaging device is equipped with an interchangeable optical system, and includes: a sensor section that has a configuration allowing nondestructive reading of a signal from each pixel; a reading section that reads a signal from the sensor section in a nondestructive manner for each pixel; a signal storage section that is able to add up and store the signals for each pixel; and a correction control section that acquires shading characteristics and controls the reading section and the signal storage section. Each pixel has an organic layer that includes a photoelectric conversion layer. On the basis of the shading characteristics, the correction control section sets the number of operations of signal reading of peripheral pixels such that the number is greater than the number of operations of signal reading of central pixels, and generates image data from the signal of each pixel stored in the signal storage section.

Abstract: The present invention provides an image processing method that allows filter processing to be easily and appropriately performed on divided images. An image processing unit 105 performs the filter processing on pixels in a divided image 1, and pixels that do not require reference to pixels in a divided image 3 that are not stored in a pixel storage unit 103, among margin pixels 3T stored in the pixel storage unit 103. Further, an image processing unit 106, which performs the filter processing in parallel with the image processing unit 105, performs the filter processing on pixels that do not require reference to the pixels in the divided image 1, among pixels in the divided image 3.

Abstract: An image processing apparatus includes a smoothed-image generating unit that generates smoothed images obtained by smoothing an original image with degrees of smoothing, respectively, an illumination-image generating unit that generates an illumination image having pixel values of an illumination component of the original image by using the smoothed images that undergo weighting in which at least one of the smoothed images is assigned a different weight, a reflectance-image generating unit that generates a reflectance image on a basis of the original image and the illumination image, the reflectance image having pixel values of a reflectance component of the original image, and a reproduced-image generating unit that generates a reproduced image to enhance visibility of the original image, at least on a basis of the reflectance image and degree-of-enhancement information indicating a degree of enhancement of the reflectance component of the original image.

Abstract: A method for generating a thumbnail of an image, includes: filtering an image to obtain an edge intensity value for each pixel point in the image; sliding a preset rectangular box on the image to perform a search and, at each searched position, calculating a distribution value of information amount in the rectangular box according to the edge intensity values of the pixel points therein; and selecting the rectangular box with the largest distribution value of information amount, and intercepting content of the image corresponding to the selected rectangular box to obtain a thumbnail of the image.

Abstract: An electronic device and an image processing method are provided. The method acquires image detailed information of an image, detects an edge region and a texture region from the image detail information, and corrects the image detail information by applying different gain values to image signals corresponding to different regions.

Abstract: Methods of characterizing the topography of a surface of a creped material, devices for characterizing surface topography of a creped material, computer systems for characterizing surface topography of a creped material, and the like, are disclosed.

Abstract: A system for detecting clouds and cloud shadows is described. In one approach, clouds and cloud shadows within a remote sensing image are detected through a three step process. In the first stage a high-precision low-recall classifier is used to identify cloud seed pixels within the image. In the second stage, a low-precision high-recall classifier is used to identify potential cloud pixels within the image. Additionally, in the second stage, the cloud seed pixels are grown into the potential cloud pixels to identify clusters of pixels which have a high likelihood of representing clouds. In the third stage, a geometric technique is used to determine pixels which likely represent shadows cast by the clouds identified in the second stage. The clouds identified in the second stage and the shadows identified in the third stage are then exported as a cloud mask and shadow mask of the remote sensing image.

Abstract: A photographic system and an associated image tuning method are provided. The image tuning method includes the steps of: capturing an image by an image sensor of the photographic system; analyzing an image content of the captured image to obtain a plurality of candidate images using a preference search strategy; providing the plurality of candidate images for selection by a user of the photographic system; determining an output image based on one of the candidate images selected by the user; and adjusting the preference search strategy by using the user's selection.

Abstract: An image processing apparatus includes: a reduced image generation unit configured to obtain a reduced image; a gain data generation unit configured to obtain gain data; and a determination unit configured to determine a control gain required to amplify the input image based on the generated gain data, and letting first gain data be the gain data for an image having a relatively high frequency, and second gain data be the gain data having a relatively low frequency, the determination unit determines the control gain based on a first addition result and a second addition result.

Abstract: Systems and methods for the generation of depth data for a scene using images captured by a camera-enabled mobile device are provided. According to a particular implementation of the present disclosure, a reference image can be captured of a scene with an image capture device, such as an image capture device integrated with a camera-enabled mobile device. A short video or sequence of images can then be captured from multiple different poses relative to the reference scene. The captured image and video can then be processed using computer vision techniques to produce an image with associated depth data, such as an RGBZ image.

Abstract: An apparatus for recognizing an iris includes: a camera configured to acquire eyeball image data; and a control module configured to estimate the iris based on pupil information extracted from the eyeball image data, acquire at least one candidate boundary line for confirming the iris based on the estimated iris, and select a final boundary line from the at least one candidate boundary line. The iris is recognizable according to the final boundary line.

Abstract: A method for filtering a digital image, comprising segmenting the digital image into a plurality of tiles; computing tile histograms corresponding to each of the plurality of tiles; deriving a plurality of tile transfer functions from the tile histograms preferably using 1D convolutions; interpolating a tile transfer function from the plurality of tile transfer functions; and filtering the digital image with the interpolated tile transfer function. Many filters otherwise difficult to conceive or to implement are possible with this method, including an edge-preserving smoothing filter, HDR tone mapping, edge invariant gradient or entropy detection, image upsampling, and mapping coarse data to fine data.

Abstract: An image processing apparatus includes a high-frequency component translating unit, a high-frequency component extracting unit, a detail-gain generating unit and an image output unit. The high-frequency component translating unit extracts and translates first high-frequency components of an input image to generate a first image. The high-frequency component extracting unit extracts second high-frequency components to generate a second image. The detail-gain generating unit stores a conversion table and generates detail gains respectively associated with input pixels in the input image according to pixel values of the input pixels and the conversion table. The image output unit calculates a weighted superposition of the first image and the second image and generates a high frequency component of an output image according to the weighted superposition and the detail gains.

Abstract: A configurable generic filter hardware block and corresponding methods are provided. A configurable generic filter hardware block includes a plurality of multipliers; a plurality of adders; and one or more multiplexers. The, configurable generic filter hardware block is configured using a header data structure, and the header data structure includes a pointer to a memory location storing a plurality of input samples, a pointer to a memory location storing a plurality of output samples and a coefficient selection control value. The configurable generic filter hardware block is optionally invoked by a convolution instruction in one or more of a vector processor and a state machine. An exemplary Generic Filter Iteration loads input samples; selects coefficients; convolves the input samples and the selected coefficients and stores output samples. The header data structures are optionally stored sequentially in memory and processed in a single loop.

Abstract: Techniques are described for determining edge pixels from a depth map in order to identify edges of an object within an environment. The techniques may fit a plane to a group of pixels comprising a subject pixel and neighbors of the subject pixel. Each pixel of the group may then be classified as either an inlier pixel or an outlier pixel, and a ratio of inlier pixels to outlier pixels of the group may be calculated. The techniques then compare this ratio to a threshold ratio to designate the subject pixel as either an edge pixel or a non-edge pixel. Edge pixels designated in this manner may then be used to identify object edges and, hence, objects in the environment.

Abstract: Systems, methods and computer program products are disclosed for resampling a digital image. According to an implementation, a source image can be presharpened and upsampled to a first upsampled image having a specified image size and a first level of presharpening. The source image is also presharpened and upsampled to a second upsampled image having the specified image size and second level of presharpening that is less than the first level of presharpening. The first and second upsampled images are deblurred. A binary edge mask image is generated from the deblurred, upsampled images. The binary edge mask image is dilated and blurred to generate a deep mask image. The first and second, deblurred upsampled images are blended together using the deep mask image.

Abstract: A contrast calculating unit calculates, as each of a contrast of a high frequency component and a contrast of a low frequency component of a transformed radiographic image, a contrast in a gradient direction of an edge portion in an analysis region with each of analysis points set by an analysis point setting unit being the center of the analysis region. A ratio calculating unit calculates, for each gradient direction, a ratio of the contrast of the high frequency component to the contrast of the low frequency component. A determining unit determines the smallest ratio as an index indicating the body motion, and determines whether or not there is a body motion during an imaging operation to take the radiographic image based on a result of statistical processing of the indexes at the analysis points. A display control unit displays a result of the determination on a display unit.

Abstract: A video encoding/decoding apparatus, an adaptive deblocking filtering apparatus and a filtering method for same, and a recording medium are disclosed.

Abstract: An image capturing device 100 includes: an image pickup unit 248; a chart storage unit 240; a chart transmission control unit 242; a calibration necessity determination unit 244 that determines whether or not calibration of the parameters of the point image restoration processing is required based on a calibration image that is obtained by imaging a calibration chart displayed on an external display device using the image pickup unit 248; a calibration control unit 246 that controls the execution of the calibration according to the determination regarding whether or not the calibration is required that has been performed by the calibration necessity determination unit 244; and a calibration execution unit 247.

Abstract: An image fusion method and an image processing apparatus are provided. A first image is generated based on a first photographing parameter, and a second image is generated based on a second photographing parameter. A first pixel reference value of each of first pixels is calculated by using a self-define mask according to color components and a luminance component of the first pixels on the first image. A second pixel reference value of each of second pixels is calculated by using the self-define mask according to color components and a luminance component of the second pixels on the second image. A synthesizing reference map recording a plurality of synthesizing weights is obtained by comparing the first pixel reference value and the corresponding second pixel reference value. A fusion image is obtained by synthesizing the first image and the second image according to the synthesizing reference map.

Abstract: The present invention is directed to an image processing method, comprising: deriving a pixel statistical value of pixels and edge information for each of regions in a plurality of layers, the regions including attention pixels and having ranges that are successively narrower; correcting differential information between a pixel statistical value for a region in an attention layer and a pixel statistical value for a region in a layer wider than the region in the attention layer by using the edge information; correcting the pixel statistical value for the region in the attention layer by using the corrected differential information and the pixel statistical value for the region wider than the region in the attention layer; re-correcting the corrected pixel statistical value for the region in the attention layer by using a pixel statistical value for a region equal to or wider than a region in each of the layers and differential information between the uncorrected pixel statistical value for the region in the at

Abstract: A method, a device and a system for restoring a resized depth frame into an original depth frame are disclosed. The method for restoring a resized depth frame into an original depth frame includes the steps of: obtaining a first sub-pixel value from one pixel of the resized depth frame; storing the first sub-pixel value in all sub-pixels of a first pixel of the original depth frame; obtaining a second sub-pixel value of the pixel of the resized depth frame; and storing the second sub-pixel value to all sub-pixels of a second pixel of the original depth frame.

Abstract: A method for improving a stereo image including a left view image and a right view image, comprising: using a data processor to automatically analyze the stereo image to determine an original stereo quality score responsive to relative positions of corresponding points in the left view image and the right view image; specifying a set of one or more candidate modifications to the stereo image; determining revised stereo quality scores based on each of the candidate modifications to the stereo image; selecting a particular candidate modification that produces a revised stereo quality score which indicates a higher quality level than the original stereo quality score; forming an output stereo image corresponding to the selected particular candidate modification; and storing the output stereo image in a processor-accessible memory.

Abstract: Disclosed are various embodiments for a computing device that receives input, from a user, selecting an area of a displayed image, where the area includes the blemish sought to be corrected by the user. The computing device identifies a spot pattern of the blemish to be corrected within the area and a context pattern of the displayed image. The computing device corrects the spot pattern of the blemish within the displayed image. The computing device identifies related images that have context patterns similar to the context pattern of the displayed image. The computing device automatically corrects similar instances of the spot pattern appearing within the related images.

Abstract: A method, a device and a system for resizing an original depth frame into a resized depth frame. The method for resizing an original depth frame into a resized depth frame includes the steps of: obtaining two sub-pixel values from at least two pixels of the original depth frame, respectively; and storing the two sub-pixel values into corresponding two sub-pixels of one pixel of the resized depth frame, respectively.

Abstract: A method includes: calculating a pixel statistical value and edge of pixels for each of areas of a multi-layer, the areas each containing a target pixel and having a successively decreased range; correcting the edge based on a pixel statistical value of an area that is wider than a specific area; correcting difference between a pixel statistical value of the specific area and the pixel statistical value of the area that is wider than the specific area using the post-correction edge; correcting the pixel statistical value of the specific area using post-correction difference and the pixel statistical value of the area that is wider than the specific area; and correcting the target pixel by repeating correction of the pixel statistical value of the specific area successively in each area until the area reduces its range from the maximum range to the minimum range.

Abstract: Described herein is a method for enhancing image data that includes transforming image data from an intensity domain to a wavelet domain to produce wavelet coefficients. A first set of wavelet coefficients of the wavelet coefficients includes low-frequency wavelet coefficients. The method also includes modifying the first set of wavelet coefficients using a coefficient distribution based filter to produce a modified first set of wavelet coefficients. The method includes transforming the modified first set of wavelet coefficients from the wavelet domain to the intensity domain to produce enhanced image data.

Abstract: The present invention is a method including: correcting difference between a pixel statistical value of a specific layer and a pixel statistical value of a layer that is wider than the specific layer using an edge information of a layer that is wider than the specific layer; correcting the pixel statistical value of the specific layer using post-correction difference and the pixel statistical value of layer that is wider than the specific layer; recorrecting the post-correction pixel statistical value of the specific layer using difference between a pre-correction pixel statistical value of the specific layer and the post-correction pixel statistical value of the specific layer and the edge information of a layer that is wider than the specific layer; and correcting the target pixel by repeating correction and recorrection until the layer reduces its range from the maximum range to the minimum range.

Abstract: The present invention relates to a method for eliminating a blocking effect in a compressed video signal signal. The method of the invention includes: the encoding step of eliminating a blocking effect by compensating the motion of a signal compressed in block unit to be transmitted; the decoding step of restoring the motion compensated video signal to the original video signal by reducing the prediction residual between the motion compensated video signal and the original video signal and the blocking effect; and the post-filtering step of performing post-filtering in a blocking elimination filter in order to eliminate a blocking effect and ring effect remained in the compensated signal. The equation for obtaining the original pixel is made simple by eliminating the remaining blocking effect and ring effect using a loop/post filter.