Abstract: A system is provided for processing video images for display. In one example, the system comprises a stream parser for retrieving a compressed main video data and a sub-picture identifier. A video decoder generates a main video image having a main video intensity value for each pixel in the main video. A sub-picture decoder determines a sub-picture image based on the sub-picture identifier. The sub-picture image includes a pixel data for each pixel in the sub-picture image indicative of a sub-picture pixel type including a background pixel type and a pattern pixel type. Each pixel includes a command code indicative of a background contrast level, a pattern contrast level, a background color level and a pattern color level. An intensity formatter generates a sub-picture pixel intensity for each pixel in the sub-picture image.

Abstract: A method for image noise filtering is provided that includes receiving a Bayer domain image with four color channels, generating a hierarchical representation of the four color channels comprising a set of coefficient arrays at each level of the hierarchical representation, modifying the coefficient arrays of the color channels jointly to remove noise, and generating a noise filtered and edge enhanced Bayer domain image based on the jointly modified coefficient arrays.

Abstract: There are provided methods and apparatus for reducing coding artifacts for illumination compensation and/or color compensation in multi-view coded video. An apparatus includes an encoder for encoding at least one block in at least one picture for at least one view of multi-view video content. The encoder has a deblocking filter for performing adaptive deblocking filtering on the at least one block responsive to an indication of at least one of illumination compensation and color compensation being used for the at least one block.

Abstract: Methods and systems for detecting and correcting chromatic aberration and purple fringing are disclosed. Chromatic aberration can be addressed by separating an image into color planes and then adjusting these to reduce chromatic aberration by using a specific calibration image (calibration chart) as an empirical method to calibrate the image acquisition device. Purple fringing can be corrected by initially addressing color aberration resulting from the lateral chromatic aberration (LCA). The LCA is first removed and then the correction is extended to purple fringing. A discovery is relied upon that the purple fringing is created in the direction of the chromatic aberration and is more pronounced in the direction of the chromatic aberration.

Abstract: A device that includes at least one memory unit adapted to store image data; the device is characterized by including a configurable filter adapted to apply de-ringing filtering and de-blocking filtering such as to filter image data retrieved from the at least one memory unit, whereas the device is adapted to repetitively determine a configuration of the configurable filter in response to received image data and to at least one mode selection rule and to configure the configurable filter in response to the determination.

Abstract: A method and apparatus for generating a dense depth map. In one embodiment, the method includes applying a joint bilateral filter to a first depth map to generate a second depth map, where at least one filter weight of the joint bilateral filter is adapted based upon content of an image represented by the first depth map, and the second depth map has a higher resolution than the first depth map.

Abstract: A super-resolution processor includes an N enlargement unit that generates an N-enlarged image by enlarging the input image by a factor N; an M enlargement unit that generates an M-enlarged image by enlarging the input image by a factor M; and a high-pass filter unit that extracts a high-frequency component of the M-enlarged image, as an M-enlarged high-frequency image. Additionally, a patch extraction unit extracts an estimated patch of a predetermined size from the M-enlarged high-frequency image, the estimated patch being a part of the M-enlarged high-frequency image; and an addition unit adds the estimated patch to a processing target block of the predetermined size in the N-enlarged image, to generate the output image, where M is smaller than N.

Abstract: A method of finding targets in a color image applies ratio space rich colored filtering to identify a band of pixels that form a transition zone from one rich color to another. This pixel band is reduced to a rich color transition curve. A set of transition curves with simple geometric and color properties for the entire image, can be compared to a database of target properties to identify a target in an image.

Abstract: An electronic device may have a digital image sensor for capturing an image and may have storage and processing circuitry for processing the image to produce a corresponding enhanced depth-of-field image. Multiple image areas, within a given image may be processed. As each image area is processed, a signal-to-noise ratio may be computed. A kernel parameter characteristic curve may be used to select values to be used for kernel parameters for each image area based on the computed signal-to-noise ratio for that image area. Kernels may be generated for each image area and the generated kernels may be convolved with their respective image areas to modify the image areas. This allows each image area to be selectively sharpened or smoothed based on its signal-to-noise ratio. Image areas with low and high signal-to-noise ratios may be sharpened less those with moderate signal-to-noise ratios to enhance depth of field in the image.

Abstract: A natural input image is upscaled, first by interpolation. Second, edges in the interpolated image are sharpened by a lion-parametric patch transform. The result is decomposed into an edge layer and a detail layer. Only pixels in the detail layer enhanced, and the enhanced detail layer is merged with the edge layer to produce a high resolution version of the input image.

Abstract: There is provided an image processing system which can remove jaggies not only from binary images but also from gray scale images, color images and images upscaled by an unknown scaler. When the center pixel of the local area clipped from a processing target image is decided to be the jaggy removal target pixel, a base filter computing means 84 applies a plurality of types of predetermined base filters to the local area. A weight calculating means 85 calculates weights with respect to the plurality of types of base filters based on the feature amount calculated by a principal component analyzing means 82. Based on a filtering result of each base filter and a weight with respect to each base filter, a filtering result weight computing means 86 updates a pixel value of the center pixel.

Abstract: A method and system for image suppression and digital-to-analog conversion (DAC) of a radio frequency (RF) signal is disclosed. In one embodiment, a digital input signal having undesired image spectra is input to two paths. In one path, the digital input signal is phase shifted so that an output of each path are out of phase by substantially 180 degrees at a frequency of the undesired image spectra, so that the undesired image spectra are substantially suppressed.

Abstract: A method for determining a candidate lesion region in a digital ultrasound medical image of anatomical tissue. The method includes the steps of: accessing the digital ultrasound medical image of anatomical tissue; applying an anisotropic diffusion filter to the ultrasound image to generate a filtered ultrasound image; performing a normalized cut operation on the filtered ultrasound image to partition the filtered ultrasound image into a plurality of regions; and selecting, from the plurality of regions, at least one region as a candidate lesion region.

Abstract: An imaging apparatus that adjusts focus based on frequency components extracted from an image signal is provided. The apparatus includes a 1st order Infinite Impulse Response (IIR)-filter including a plurality of sample delayers having a plurality of line buffers for buffering and delaying a plurality of samples to sequentially read pixels of the image signal through raster scanning and extracting frequency components of the image signal from the read pixels by using the plurality of sample delayers; and a delay sample number controller for controlling the IIR-filter to match the number of horizontal pixels sequentially read from the image signal through raster scanning to the number of the plurality of samples buffered by the plurality of line buffers.

Abstract: A method and system for image suppression and digital-to-analog conversion (DAC) of a radio frequency (RF) signal is disclosed. In one embodiment, a digital input signal having undesired image spectra is input to two paths. In one path, the digital input signal is phase shifted so that an output of each path are out of phase by substantially 180 degrees at a frequency of the undesired image spectra, so that the undesired image spectra are substantially suppressed.

Abstract: An image processing apparatus includes an image obtaining portion 200 that obtains a first and second images having exposures different from each other, a region selecting portion 203 that selects a first region different from a region containing a luminance saturation part from the first image, and that selects a second region corresponding to the region containing the luminance saturation part of the first image from the second image, an image restoration processing portion 201 that performs an image restoration processing using an image restoration filter generated based on an optical transfer function for the first region of the first image and the second region of the second image, and an image replacing portion 202 that replaces the region containing the luminance saturation part of the first image with the second region of the second image so as to synthesize the first and second regions to generate one image.

Abstract: A method of reducing power consumption in a liquid crystal display illuminated by a backlight device includes dimming the backlight and adjusting the intensity of the image to compensate for the dimmed backlight. A dimming factor for the backlight is based on a clipping point determining from the pixel intensity distribution of the image signal. The intensity of the image is adjusted based on the dimming factor, wherein a first tone mapping function is used to adjust pixel intensities below an intensity threshold and a second tone mapping function is used to adjust pixel intensities above the intensity threshold.

Abstract: Method and system for determining a measure of quality for images by using multi-level decomposition are presented. Multi-level decomposition of images is performed in the wavelet domain producing subbands at each level of decomposition. Aggregation of subbands is performed across multiple levels to produce an accurate measure of image quality. By aggregating only selected subbands the computational complexity of the method is greatly reduced.

Abstract: Image and video processing using multi-scale amplitude-modulation frequency-modulation (“AM-FM”) demodulation where a multi-scale filterbank with bandpass filters that correspond to each scale are used to calculate estimates for instantaneous amplitude, instantaneous phase, and instantaneous frequency. The image and video are reconstructed using the instantaneous amplitude and instantaneous frequency estimates and variable-spacing local linear phase and multi-scale least square reconstruction techniques. AM-FM demodulation is applicable in imaging modalities such as electron microscopy, spectral and hyperspectral devices, ultrasound, magnetic resonance imaging (“MRI”), positron emission tomography (“PET”), histology, color and monochrome images, molecular imaging, radiographs (“X-rays”), computer tomography (“CT”), and others.

Abstract: A method of estimating a point spread function (PSF) includes: estimating a global motion between a short-exposure image and a long-exposure image that are continuously captured using different exposure times, and compensating for the global motion; calculating a first resultant image by applying a band pass filter to the short-exposure image; calculating a second resultant image by applying the band pass filter to the long-exposure image; converting the first resultant image and the second resultant image into n-level images, where n is an odd natural number greater than or equal to 3, by deducing a first n-level resultant image and a second n-level resultant image from the first resultant image and the second resultant image, respectively; correlating the first n-level resultant image and the second n-level resultant image, and calculating a correlation map; and deducing the PSF from the correlation map.

Abstract: An image processing device capable of obtaining a high precision image while aberration asymmetry is corrected. An image processing device includes image obtaining means configured to obtain an input image, image restoration means configured to restore the input image using a generated or selected image restoration filter in accordance with a transfer function of an image pickup system used for forming the input image from an object image. The image restoration filter makes a difference between absolute values of transfer functions of two azimuthal directions at a time when the restoration image is obtained from an object smaller than a difference between absolute values of transfer functions of the two azimuthal directions of the image pickup system.

Abstract: It is an object to provide an image processing device capable of obtaining a high precise image while aberration asymmetry is corrected. An image processing device according to the present invention includes image obtaining means configured to obtain an input image, image restoration means configured to restore the input image using a generated or selected image restoration filter in accordance with a transfer function of an image pickup system used for forming the input image from an object image. The image restoration filter makes a difference between absolute values of transfer functions of two azimuthal directions at a time when the restoration image is obtained from an object smaller than a difference between absolute values of transfer functions of the two azimuthal directions of the image pickup system.

Abstract: An apparatus for improving image sharpness includes a pixel detector that labels each of pixels in an image as one of an edge/texture type and a non-edge/texture type, a pixel type determiner that classifies each of the pixels that are labeled as the edge/texture type as one of a border point type pixel, a transition point type pixel, and a peak point type pixel, and a filter. The filter includes a shrinking/expanding filter and a high boost filter, the shrinking/expanding filter filtering the border point type pixels, and the high boost filter subsequently filtering the peak point type pixels and then filtering the transition point type pixels.

Abstract: A hierarchical motion deblurring method for a single image is provided. In the method, a blur kernel of a target image is calculated and a multi-scale representation for representing the target image and the blur kernel is constructed. Then, a gradient attenuation function and a strong edge suppression function are applied to a residual Richardson-Lucy algorithm, so as to iteratively calculate a residual image between the blur kernel and the target image represented by the representation in each scale and restore the residual image to obtain a first restored image and a second restored image. Finally, the two restored images are compared so as to obtain a motion deblurring image.

Abstract: A method to detect and remove noise in image reconstruction. The method includes integration of filters and phase unwrapping algorithms for removing speckle noise, residual noise and noise at the lateral surface of height discontinuities. The method is used for generating a noise-free unwrapped phase map and hence, a successful image reconstruction of an object image.

Abstract: A user presence detection device includes a camera module with a silicon-based image sensor adapted to capture an image and a processing device configured to process the image to detect the presence of a user. The camera module further includes a light filter having a lower cut-off wavelength of between 550 nm and 700 nm and a higher cut-off wavelength of between 900 nm and 1100 nm.

Abstract: There is provided an algorithm that allows one, using a sequence of object images provided at different angles, to generate a 360 degree view model of an object. To generate such a model, the inventive algorithm may involve the following tasks: 1) provide a set of images (the number and size are unlimited), 2) reduce their features to the same brightness and contrast, 3) separate an object from a complex (heterogeneous) background in the images, 4) stabilize the objects in every image with respect to each other, and 5) process the resulting sequence of images to generate a 360 degree view.

Abstract: An image rectification method includes the steps of: detecting edges in an image by using a Canny filter; performing Hough transform on the edges to detect lines in the image; selecting a candidate quadrangle from quadrangles formed by the detected lines; obtaining a transform matrix for transforming the candidate quadrangle to a rectangle by homographic transform; rectifying the image by using the transform matrix; and enhancing the rectified image.

Abstract: Provided are a method and apparatus for removing image noise. The method includes: separating an input image signal into a signal component and a noise component; converting the noise component into a decorrelated noise component that is spatiotemporally decorrelated from neighboring pixels; and generating an image signal by adding the decorrelated noise component to the signal component.

Abstract: Certain aspects of a method and system for motion compensated temporal filtering using both finite impulse response (FIR) and infinite impulse response (IIR) filtering may include blending at least one finite impulse response (FIR) filtered output picture of video data and at least one infinite impulse response (IIR) filtered output picture of video data to generate at least one blended non-motion compensated output picture of video data. A motion compensated picture of video data may be generated utilizing at least one previously generated output picture of video data and at least one current input picture of video data. A motion compensated picture of video data may be blended with at least one current input picture of video data to generate a motion compensated output picture of video data. The generated motion compensated output picture of video data and the generated non-motion compensated output picture of video data may be blended to generate at least one current output picture of video data.

Abstract: The described methods and corresponding apparatus are for use in highlight recovery in a set of image data. The image data is inverted, treated by a digital lighting process, the subsequently inverted again. This allows the set of data image to be treated for dynamic range compression of detail in both the dark regions and the light regions by the same algorithm. In other words, the process applied to the dark regions can be performed by a correction algorithm and the process applied to the light regions performed by the same algorithm, but with the image data negated before and after the correction algorithm is applied.

Abstract: The disclosure relates to methods for determining mixedness of batch material for making ceramic ware, and methods for obtaining substantially consistent mixedness of batch material for making ceramic ware.

Abstract: A curvature-preserving filter having a null covariance matrix is applied to an input image to produce a denoised output image for output to a graphic display device or to a machine analysis tool. In one embodiment, the input image is a small kernel consisting of a limited number of pixels and the filter is applied to the input image by direct summation. In another embodiment, a digital image is input into an image processor that executes a Fourier transform to produce a Fourier-transformed signal. The curvature-preserving filter is applied to the Fourier-transformed signal in Fourier space to produce a denoised signal, then the denoised signal is transformed by an inverse Fourier transform to generate a denoised output image In an alternate embodiment, the filter further produces a deblurred signal by including an inverse point-response function.

Abstract: There are provided a first intermediate image generating means (1) for generating a first intermediate image (D1) by extracting a component in a vicinity of a particular frequency band in an input image (DIN), a second intermediate image generating means (2) for generating a second intermediate image (D2) from the first intermediate image (D1), and an adding means for adding the input image (DIN) and the second intermediate image (D2). The second intermediate image generating means (2) includes a non-linear processing means (2A) that varies the content of its processing according to the pixel in the intermediate image (D1). Even if the input image includes a fold-over component on the high-frequency side or does not include an adequate high-frequency component, adequate image enhancement processing can be carried out.

Abstract: A content-aware image retargeting technique uses an “importance filtering” technique to preserve important information in the resizing of an image. The image saliency is first filtered, guided by the image itself to achieve a structure-consistent importance map. The pixel importance is then used as the key constraint in computing the gradient map of pixel shifts from the original resolution to the target resolution. Finally the shift gradient is integrated across the image by a weighted filtering process to construct a smooth pixel shift-map and render the target image. The weight is again controlled by the pixel importance. The two filtering processes enforce the maintaining of structural consistency while preserving the important contents in the target image. The simple nature of the present filter operations allow for real-time applications and easy extension to video retargeting, as the structural constraints from the original image naturally convey the temporal coherence between frames.

Abstract: A method reduces multiplicative and additive noise in image pixels by clustering similar patches of the pixels into clusters. The clusters form nodes in an affinity net of nodes and vertices. From each cluster, a dictionary is learned by a sparse combination of corresponding atoms in the dictionaries. The patches are aggregated collaboratively using the dictionaries to construct a denoised image.

Abstract: A light information receiving method, a method and a unit for the recognition of light-emitting objects are provided. The light information receiving method includes the following steps. A light-emitting object array is captured to obtain a plurality of images, wherein the light-emitting object array includes at least one light-emitting object. A temporal filtering process is performed to the images to recognize a light-emitting object. A light-emitting status of the light-emitting object array is recognized according to the light-emitting object location. A decoding process is performed according to the light-emitting status to output an item of information.

Abstract: In a method for displaying an image of a scene in front of a vehicle, recorded by a video camera, in which the scene in front of the vehicle contains a roadway which is illuminated by the vehicle's headlights, the gray values of the pixels of the image data generated by the video camera are weighted using a reduction factor, which is a function of the respective pixel within the image and of the brightness of objects in the near range in front of the vehicle, in such a way that the contrast between the display of the near range in front of the vehicle and the display of other parts of the image is reduced.

Abstract: The invention discloses a method and device for image filtering in the field of communication technologies, the method including: acquiring image data of a pixel dot of a current row to be filtered and a corresponding pixel dot of at least one adjacent row; obtaining contrast information containing a transparency value, of the pixel dot of the current row and the pixel dot of the adjacent row respectively by resolving the image data of the pixel dot of the current row and the pixel dot of the adjacent row; generating a filter coefficient according to the transparency value of the pixel dot of the current row and the transparency value of the corresponding pixel dot of the adjacent row; and performing filtering on the pixel dot of the current row with the filter coefficient.

Abstract: An overflow suppression technique that is effective for avoiding degradation in image quality is provided. A fundamental waveform and detail is extracted out of an input RGB signal. A suppression gain generation unit 614 generates a suppression gain from the extracted fundamental waveform. Multipliers 612a and 612b multiply the detail and the fundamental waveform by the generated suppression gain, respectively. Then, an adder 626 combines them together for a mixed output. Alternatively, equalization processing is performed as follows. A low frequency component fundamental waveform is obtained as a result of the passing of an input RGB signal through a low pass filter 622. A suppression gain is generated from the low frequency component fundamental waveform. Then, the input itself is multiplied by the suppression gain to obtain an output.

Abstract: A filter coefficient calculating unit 81 sets as a filter window a range, which contains plural coordinates including an attention coordinate “p” in an initial alpha map, and uses a pixel value Ip at a coordinate of an original image corresponding to a coordinate “p” in the filter window and a pixel value Iq at a coordinate of the original image corresponding to a coordinate “q” in the filter window to calculate a filter coefficient Kq at the coordinate “q” on a coordinate to coordinate basis in the filter window. That is, a filter coefficient set is created, which consists of filter coefficients calculated on a coordinate to coordinate basis in the filter window. A weighted-average filtering unit 83 uses the filter coefficient set to apply a weighted-average filtering operation on each pixel value in the filter window.

Abstract: A filter for eliminating image errors, as well as associated method and TV signal display circuit, is provided to determine the filter coefficients according to the regularity of image errors in an image signal or a TV signal, thereby removing the image errors. The filter includes a plurality of multipliers and an adder. The multipliers receive a plurality of pixel values from a plurality of scan lines, multiply the pixel values by a plurality of corresponding weight coefficients and output the result; the adder sums up the outputs of the multipliers to generate an output pixel value. The errors have a regularity and the corresponding weight coefficients are associated with the regularity such that the errors of the pixel values may be canceled when the adder generates the output pixel value.

Abstract: An image-output inspection system includes a printer controller that generates output image data subjected to halftone processing in accordance with an input image forming condition specified in a printer language, an image output device that forms an image on an image output medium on the basis of the output image data, and transmits the output image data, an image reader that reads the image output medium, and generates read image data, and an image inspection apparatus that is connected to the image output device, and generates correct image data by restoring image data before subjected to the halftone processing from the output image data, and determines whether a print state of the image output medium is good or not by comparing the correct image data with the read image data.

Abstract: An image processing apparatus and an image processing method blurs a background portion of an image. The image processing apparatus includes an image acquiring unit for acquiring original image data; an image processing unit for separating background pixels from foreground pixels in the original image; an image filtering unit for filtering the background pixels; and an image merging unit for merging the foreground pixels with the filtered background pixels in order to generate a new image having a blurred background.

Abstract: A method of providing a super-resolution image is disclosed. The method uses a processor to perform the following steps of acquiring a captured low-resolution image of a scene and resizing the low-resolution image to provide a high-resolution image. The method further includes computing local edge parameters including local edge orientations and local edge centers of gravity from the high-resolution image, selecting edge pixels in the high-resolution image responsive to the local edge parameters, and modifying the high-resolution image in response to the selected edge pixels to provide a super-resolution image.

Abstract: An image processing apparatus includes: an image obtaining device; an image dividing device that divides the image through a fine structure retrieving filter and a basic structure retrieving filter into a detail signal component and a basic signal component, the detail signal component including an edge component, a texture component, and a noise component, and the basic signal component being other than the detail signal component; an image correcting device that retrieves a focused picture cell, determines whether the focused picture cell represents the noise, corrects the detail signal component to reduce the noise component in the focused picture cell when the focused picture cell represents the noise; and an image synthesizing device that synthesizes a basic structure image provided by the basic signal component and a corrected fine structure image provided by the corrected detail signal component.

Abstract: An image processing method, for correcting a blur a due to an optical system of an image capturing apparatus, the image processing method including, storing a plurality of representative filters in a memory, selecting a subset of representative filters from the plurality of representative filters based on a pixel position of a pixel of interest in an image, applying each of the selected representative filter to a pixel value of the pixel of interest, and correcting the pixel value of the pixel of interest based on (a) a result of the application of filters, and (b) the pixel position of the pixel of interest.

Abstract: A system for determining a high resolution image includes receiving a low resolution image and determining a vector of a patch of the low resolution image based upon a low resolution dictionary. The system includes determining a high resolution patch based upon a high resolution dictionary and the vector and determining the high resolution image based upon the high resolution patch.

Abstract: A method for producing a noise-reduced digital image captured using a digital imaging system having signal-dependent noise characteristics, comprising: capturing one or more noisy digital images of a scene, wherein said at least one noisy digital image has signal-dependent noise characteristics; defining a functional relationship to relate the noisy digital images to a noise-reduced digital image, wherein the functional relationship includes at least two sets of unknown parameters, and wherein at least one of the sets of unknown parameters relates to the signal-dependent noise characteristics; defining an energy function responsive to the functional relationship which includes at least a data fidelity term to enforce similarities between the noisy digital images and the noise-reduced digital image, and a spatial fidelity term to encourage sharp edges in the noise-reduced digital image; and using an optimization process to determine a noise-reduced image responsive to the energy function.

Abstract: An edge-preserving diffusion filter maintains the sharp edges in images while smoothing out image noise. An edge-preserving diffusion filter applies an edge-preserving smoothing filter to an image to form a filtered image. The modified image is then blurred by a blurring filter to form a blurred image. The modified image and the blurred image are blended together to form an output image based on an error metric associated with each pixel. The edge-preserving diffusion filter may be utilized to perform a multilevel decomposition of the image. The edge-preserving diffusion filter may be applied to an unfiltered image to produce a base image. The difference between the unfiltered image and the base image defines a detail image. The detail image may be used as the input for recursively generating additional levels of detail. The multilevel decomposition may utilize filter kernels associated with different contrast levels for each iteration.