Abstract: An embodiment of a method for reducing chroma noise in digital image data and of a corresponding image processor. Chrominance components are subjected to low-pass filtering. The strength of the low-pass filtering is modulated in accordance with the dynamic range of the luminance signal and the dynamic range of each of the two chrominance signals in order to avoid color bleeding at image-object edges. Moreover, the low-pass filtering is selectively applied to pixels with similar luminance and chrominance values only. A combination of down-sampling and up-sampling units is employed so that comparatively small filter kernels may be used for removing chroma noise with low spatial frequency.

Abstract: A computer-based method/system of dynamic category object recognition for estimating pose and/or positioning of target objects and target object's parts. The method/system may recognize a target object and the target object's parts. The method/system may segment and extract data corresponding to the target object and the target object's parts, and estimate the pose and positioning of the target object and the target object's parts using a plurality of stored object models. The dynamic method/system may supplement or modify the parameters of the plurality of stored object models and/or store learned object models. The learned object models assist in recognizing and estimating pose and/or positioning of newly encountered objects more accurately and with fewer processing steps. The method and system may include a processor, a sensor, an external device, a communications unit, and a database.

Abstract: Embodiments of the present invention provide a device and method for correcting a document image and a scanner. Wherein the device includes: an extracting unit configured to extract boundaries in a first direction of the document image and extract lines in the first direction according to a content of the document image, a filtering unit configured to filter the extracted lines, a constructing unit configured to extend and adjust the filtered lines and construct a correcting mesh, and a correcting unit configured to perform correcting according to the correcting mesh. An accurate correcting model can be constructed by taking document boundaries and document contents into account in constructing the correcting model and constructing a correcting mesh after filtering, extending and adjusting the extracted lines, thereby effectively eliminating distortion in the document image.

Abstract: An image reading apparatus may be in a state where a foreign material detection process cannot be completed for all reading position candidates before a sheet arrives at a conveyance roller. In such a state, the image reading apparatus performs the foreign material detection process and a position determination process only on reading position candidates which are part of all reading position candidates. The image reading apparatus determines a reading position candidate with fewest foreign material images from among the reading position candidates for which the foreign material detection process has been completed, as a sheet reading position.

Abstract: An image processing apparatus, including a first obtaining unit which obtains image data; a first generation unit which generates a plurality of levels of pixel values that are respectively smoothed in a plurality of levels of resolutions; a correction unit which corrects the pixel value of the obtained image data for each of the levels; and a control unit which controls so as to form image data in which the pixel value of the obtained image data is enhanced by utilizing a high frequency component in each of the levels of the image data having the pixel value corrected by the correction unit, the high frequency component corresponding to each of the levels of the resolutions.

Abstract: Provided is an image reading apparatus including a light source that irradiates an original document that passes through a reading position with light, a light receiving unit that receives reflected light from the original document, a background member that is inclined at an angle where a difference between an incident angle of the light from the light source and a reflection angle of the light to the light receiving unit is smaller than a difference therebetween on the original document present at the reading position, with the original document at the reading position interposed between the background member and the light source, and a foreign substance detecting section that detects, when the original document is not present at the reading position, a foreign substance present at the reading position.

Abstract: A system for enhancing an input image including receiving an input image and filtering the input image with a plurality of non-linear smoothing filters providing a respective plurality of filtered outputs. The system processes a plurality of the filtered outputs with respect to at least one of another of the filtered outputs and the input image to determine a plurality of detail layers. The system filters the plurality of detail layers with a plurality of non-linear smoothing filters providing a respective plurality of smoothed layers. The system adjusts the plurality of smoothed layers in such a manner that regions closer to an edge are enhanced to a lesser extent than regions farther from an edge and combining the adjusted the smoothed layers to provide an enhanced output image.

Abstract: A solid-state image pickup device in which a first substrate and a second substrate including circuit elements forming pixels and disposed therein are electrically connected by a connection unit, may include an averaging circuit that averages signals accumulated in signal accumulation circuits respectively included in the two or more pixels that are pixels included in the same group and are averaging targets, and an output circuit that outputs the averaged signals from the pixels. The pixels may be classified into a plurality of groups and each group may include the plurality of pixels. The pixels may include photoelectric conversion elements disposed in the first substrate, and the signal accumulation circuits that are disposed in the second substrate and accumulate signals that are generated by the photoelectric conversion elements and are input via the connection unit.

Abstract: In a method and apparatus to correct distortions in magnetic resonance diffusion images, a distortion model is provided to a computer, at least one reference image is acquired, multiple diffusion images are acquired and after the acquisition of one diffusion image of the multiple diffusion images the following steps are executed in the computer. The diffusion image is brought into registration with the at least one reference image, the distortion model is adapted using the result of the registration, and distortions of the diffusion image are corrected using the distortion model.

Abstract: This flicker reducing apparatus (200) includes: a line integral value getting section (210) which gets, based on values of pixels included in ones selected from a plurality of horizontal lines that form an image, line integral values of the selected horizontal lines with respect to each image; a discrete Fourier transform section (230) which performs, between the newest image and a number of other images gotten earlier than the newest one, a discrete Fourier transform on a sequence of the line integral values of the respective images; a linear approximation section (250) which obtains an approximation line based on phase information that has been collected as a result of the discrete Fourier transform and which extracts information about the flicker from the approximation line; a flicker coefficient calculating section (260) which calculates a flicker coefficient by reference to the flicker information; and a correction arithmetic section (270) which performs flicker reduction processing on the image signal u

Abstract: An image processing apparatus includes an image acquiring unit that acquires an image; an information acquiring unit that acquires image information indicative of a content of the image; and a correcting unit that corrects the image based on the image information such that some of warping of the image is left. The horizontal direction component of the warping may be completely or nearly completely eliminated while a predetermined portion of a vertical direction component of the warping is left, when the image information indicates the content of the image is a person. Alternatively, there is an analyzer which generates the image information indicating that the content of the image is a erson when the analyzing determines that the image contains two or more persons.

Abstract: An image reading device includes a light source, an imaging section, and a controller. The light source includes a plurality of light emitting elements. The light source irradiates light to an original document, while moving relative to the original document. The imaging section obtains scan data read from the original document by light irradiated to the original document from the light source. The controller controls the light source and the imaging section. The controller determines a read target region and a non-read target region in the original document, turns on a light emitting element out of the plurality of light emitting elements, which corresponds to the read target region, and turns off a light emitting element out of the plurality of light emitting elements, which corresponds to the non-read target region.

Abstract: In an image capturing apparatus, a first image data is stored in a first storage; second image data of a low resolution is generated by the first reducing; enlarged image data is generated; low resolution image data is generated from the first image data through processing that is different from that performed by the first reducing, the low resolution image data have the same pixel count as the first image data and a lower resolution than that of the first image data; one of first image processing in which the first image data is combined with the enlarged image data or second image processing in which the first image data is combined with the low resolution image data is executed; and the processing is switched between the first image processing and the second image processing, according to a shooting operation.

Abstract: Adjusting digital images for parallax includes receiving (401) a digital image of an object on a platform from a camera positioned over the platform and adjusting (402) a magnification of a top surface of the object in the digital image based on a height of the object.

Abstract: Among other disclosed subject matter, a computer-implemented method includes receiving illustrated content. The illustrated content includes half-tone content. The method includes blurring at least part of the illustrated content. The blurring is performed according to a blur radius. The method includes downscaling the blurred illustrated content to an output size.

Abstract: Methods and apparatus for use in reducing noise in one or more video frames. An expected value corresponding to each area (e.g., pixel) of a plurality of areas within the video frame is determined. A surprise value associated with each area is calculated based at least in part on the expected value and an actual value corresponding to the area. The surprise value represents a divergence of the actual value from the expected value. The response of one or more noise filters is attenuated with respect to a first area of the plurality of areas based on the surprise value associated with the first area.

Abstract: An image processing device includes an image-modification processing unit and an adjustment unit. The image-modification processing unit executes first image-modification processing wherein pixels are inserted to or deleted from a subject image in a first direction or pixels in the subject image are shifted in the first direction and second image modification processing wherein pixels in the subject image are shifted in a second direction. The adjustment unit adjusts a position of a shift-border along which the pixels are shifted in the second image-modification processing on the basis of a position of each step in an image caused in the first image-modification processing.

Abstract: A magnetic resonance system includes a magnetic resonance scanner having a multi-channel transmit coil or coil system and a magnetic resonance receive element; and a digital processor configured to perform an imaging process. The image process includes shimming the multi-channel transmit coil or coil system, acquiring a coil sensitivity map for the magnetic resonance receive element using the multi-channel transmit coil or coil system, acquiring a magnetic resonance image using the magnetic resonance receive element and the shimmed multi-channel transmit coil or coil system, and performing an intensity level correction on the acquired magnetic resonance image using the coil sensitivity map to generate a corrected magnetic resonance image.

Abstract: The invention discloses a method for editing propagation of video and image content based on local feature structure preservation, comprising: mapping all pixels in the input original image and/or video key frames to a selected feature space; finding K nearest neighbor pixels for each pixel according to feature vectors' Euclidean distance in the selected feature space; using Locally Linear Embedding (LLE) dimension reduction to construct the locally linear relationship between each pixel and its K nearest neighbor pixels in the selected feature space; According to the present invention, it is possible to accurately perform such image or video processing as automatic color transformation, interactive color editing, gray image colorization, video cloning and image matting.

Abstract: A system for contextualizing noisy samples by substantially minimizing noise induced variance may include a memory, an interface, and a processor. The memory is operative to store exemplars. The processor is operative to receive, via the interface, a sample which includes exemplar content corresponding to one of the exemplars, and noise. Variance induced by the noise may differentiate the sample from one or more of the exemplars. The processor may generalize the sample and the exemplars in order to substantially minimize the variance. The processor may compare the generalized sample to the generalized exemplars to identify the exemplar corresponding to the exemplar content of the sample. The processor may contextualize the sample based on a document type of the identified exemplar. The processor may present the contextualized sample to a user to facilitate interpretation thereof, and in response thereto, receive data representative of a user determination associated with the noise.

Abstract: A system and method for video encoding using noise level estimates from vertical blanking interval lines. A video signal may be received by an encoding system. Information may be extracted from the video signal and may be analyzed. The extracted information may be vertical blanking intervals. The extracted and analyzed information may be utilized to estimate a noise level of the video signal. The estimated noise level may then be utilized in encoding the video signal by being inserted into the video signal or used to change parameters used in video encoding.

Abstract: Perceptually correct noises simulating a variety of noise patterns or textures may be applied to stereo image pairs each of which comprises a left eye (LE) image and a right eye (RE) image that represent a 3D image. LE and RE images may or may not be noise removed. Depth information of pixels in the LE and RE images may be computed from, or received with, the LE and RE images. Desired noise patterns are modulated onto the 3D image or scene so that the desired noise patterns are perceived to be part of 3D objects or image details, taking into account where the 3D objects or image details are on a z-axis perpendicular to an image rendering screen on which the LE and RE images are rendered.

Abstract: In embodiments of optical flow accounting for image haze, digital images may include objects that are at least partially obscured by a haze that is visible in the digital images, and an estimate of light that is contributed by the haze in the digital images can be determined. The haze can be cleared from the digital images based on the estimate of the light that is contributed by the haze, and clearer digital images can be generated. An optical flow between the clearer digital images can then be computed, and the clearer digital images refined based on the optical flow to further clear the haze from the images in an iterative process to improve visibility of the objects in the digital images.

Abstract: In accordance with various aspects of the disclosure, a system, a method, and computer readable medium having instructions for processing images is disclosed. For example, the method includes selecting, at an image processor, a region of a first image comprising a plurality of pixels. A mean value of pixels in the selected region is computed. From a plurality of sets of pixels in the region, a first subset of pixels in the region containing artifacts therein is selected. A value of each pixel in the first subset is compared with the mean value. The value of each pixel is adjusted based upon the comparing. The first image is reconstructed based upon the adjusted value of each pixel in the first subset, such that a variance of pixel values in the reconstructed image is lower than a variance of pixel values in the first image.

Abstract: A method and system for image stabilization through image processing, and a zoom camera including an image stabilization function. The method includes: determining whether an input image comprises a representative feature portion; sampling the representative feature portion to generate a sampled image if it is determined that the input image comprises the representative feature portion; enlarging the input image by an optical zooming, matching the enlarged input image with the sampled image, and obtaining a central coordinate of the enlarged input image and a central coordinate of the sampled image; and aligning an optical axis by calculating a difference between the central coordinate of the enlarged input image and the central coordinate of the sampled image.

Abstract: A system, method, and computer program product are provided for performing fast, non-rigid registration for at least two images of a high-dynamic range image stack. The method includes the steps of generating a warped image based on a set of corresponding pixels, analyzing the warped image to detect unreliable pixels in the warped image, and generating a corrected pixel value for each unreliable pixel in the warped image. The set of corresponding pixels includes a plurality of pixels in a source image, each pixel in the plurality of pixels associated with a potential feature in the source image and paired with a corresponding pixel in a reference image that substantially matches the pixel in the source image.

Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to de-noise a visible light image using a gradient scale map generated from gradient vectors in the visible light image and a NIR image. The gradient scale map may be used to determine the amount of de-noising guidance applied from the NIR image to the visible light image on a pixel-by-pixel basis.

Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.

Abstract: In order to generate an X-ray CT image with optimal quality for each part and each region of an object when scanning the object across a plurality of parts using a plane detector, there is provided an X-ray CT apparatus including smoothing means 230 and filtering means 250 for generating a convolution filter on the basis of feature amounts of projection data output from the X-ray detector 12 and superimposing the convolution filter on the projection data, reconstruction means 200 for generating an X-ray CT image of the object by performing a reconstruction operation on the projection data on which the convolution filter is superimposed, and image display means 280 for displaying the image generated by the reconstruction means 200.

Abstract: An image processing device includes: a first edge strength calculation part that calculates a first edge strength for a focus pixel based on pixel values in a first region that includes the focus pixel in an input image; a second edge strength calculation part that calculates a second edge strength for the focus pixel based on pixel values in a second region that is smaller than the first region and that includes the focus pixel; and a filter processing part that determines a filter coefficient such that a first smoothing strength is higher than a second smoothing strength and that filters the input image using the filter coefficient. The first smoothing strength is obtained where the first edge strength is higher than a first reference value and where the second edge strength is lower than a second reference value, and the second smoothing strength is obtained in other cases.

Abstract: Embodiments of methods, systems and storage media associated with enhancing glyphs in a scanned image are disclosed herein. Based on properties of a glyph, one or more stroke kernels representing the glyph may be identified or generated. The stroke kernels may be compared to both the glyph and one another, and one or more preferred stroke kernels may be identified. The preferred stroke kernels may be stored and applied to the glyph to enhance the glyph.

Abstract: There are provided method and apparatus for filter parameter determination and selection responsive to variable transforms in sparsity-based de-artifact filtering. An apparatus includes an encoder for encoding picture data for at least a portion of a picture. The encoder includes a sparsity-based de-artifact filter for performing sparsity-based de-artifact filtering on the portion. One or more filter parameters for the sparsity-based de-artifact filtering are determined and selected responsive to variable transforms.

Abstract: A 3D scanner for recording the 3D topography of an object, the 3D scanner includes an illumination unit configured for providing probe light for illuminating the object, where the probe light includes a pattern of light rays; an image sensor for acquiring one or more 2D images of light rays returning from the illuminated object; an optical system including an optical element arranged such that the patterned probe light passes through it when propagating towards the object from the illumination unit along an optical path; and a device for changing the configuration of the optical system between a first and a second configuration, where the change in configuration comprises a change in orientation of the optical element between a first orientation and a second orientation relative to the optical path of the probe light.

Abstract: Spatial and temporal metrics are computed for a picture or regions within a picture to determine the impact of coding and quantization on the quality of an encoded picture. Prediction mode decisions and quantization optimization algorithms are used to create a compressed bit stream that minimizes coding artifacts. Pre-processing techniques are also used to suppress coding artifacts that reduce picture quality.

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: Image denoising techniques are described. In one or more implementations, a denoising result is computed by a computing device for a patch of an image. One or more partitions are located by the computing device that correspond to the denoising result and a denoising operator is obtained by the computing device that corresponds to the located one or more partitions. The obtained denoising operator is applied by the computing device to the image.

Abstract: Removal of the effects of dust or other impurities on image data is described. In one example, a model of artifact formation from sensor dust is determined. From the model of artifact formation, contextual information in the image and a color consistency constraint may be applied on the dust to remove the dust artifacts. Artifacts may also be removed from multiple images from the same or different cameras or camera settings.

Abstract: The image processing apparatus includes a determining part configured to determine, from a difference between information on color of a first pixel in a first image and information on color of a second pixel corresponding to the first pixel in a second image, whether or not the first image includes color blur due to defocus, the first and second images being generated by an image-pickup system and whose focus states are mutually different. The apparatus further includes a correcting part configured to perform on the first image a correction process that corrects the color blur determined by the determining part.

Abstract: An image processing method is configured to denoise three-dimensional image data. The image processing method includes an image transform step of performing a frequency transform for the three-dimensional image data in the optical axis direction and of calculating three-dimensional transformed image data, an image modulation step of reducing an absolute value of the three-dimensional transformed image data in a specific frequency region and of calculating three-dimensional modulated image data, and an inverse image transform step of performing an inverse frequency transform corresponding to the frequency transform for the three-dimensional modulated image data in the optical axis direction and of calculating three-dimensional inversely transformed image data. The specific frequency region is a part of a predetermined.

Abstract: A global spatial domain detail controlling method for an image processor includes adjusting at least one detail parameter corresponding to each pixel during an image processing according to each space position of the each pixel in an image; and performing the each pixel with the image processing according to the at least one detail parameter of the each pixel.

Abstract: Image processing includes: receiving an image; applying shader code, using one or more processors, to the image to generate a blurred image version (BIV); receiving configuration information pertaining to a mask; generating the mask that includes an unblurred region and a blurred region, based at least in part on the configuration information; and applying the mask to combine the image and the BIV to render a composite image that includes an unblurred portion comprising a portion of the image corresponding to the unblurred region of the mask, and a blurred portion comprising a portion of the BIV corresponding to the blurred region of the mask.

Abstract: Described herein are devices and techniques for providing adaptable Local Area Processing (LAP) contrast enhancement of imagery by redistributing pixel intensity values in a dynamic range of an imaging device according to a packed statistical distribution function, wherein the redistribution is achieved according to a recursive packing factor.

Abstract: There is provided an information processing apparatus including an image acquisition unit configured to acquire images captured from a plurality of observation points for a predetermined object, a feature point extraction unit configured to extract a feature point in each of the images acquired by the image acquisition unit, a correspondence relationship acquisition unit configured to acquire a correspondence relationship of the feature points based on images from among adjacent observation points, and an information presentation unit configured to quantitatively present information about the correspondence relationship acquired by the correspondence relationship acquisition unit.

Abstract: Embodiments of the present invention are directed towards increasing texture filtering performance for texel components represented by more than 8 bits. As the number of bits per component increases, the number of texels that are processed each clock cycle decreases since more bits need to be processed to produce each filtered result. A filtered result may be accumulated over two or more iterations, with each iteration producing a portion of the filtered result. When only a portion of the components for each texel are used, the unused texel components are not processed. Elimination of unnecessary texel processing for unused texel components may improve texture filtering performance.

Abstract: Devices, systems, apparatuses, methods, and other embodiments associated with bit resolution enhancement are described. In one embodiment, an apparatus includes logic configured to produce a high-resolution pixel from a low-resolution pixel. The apparatus includes logic configured to classify the high-resolution pixel as being in a smooth region of an image based on at least one of a gradient value and a variance value associated with the low-resolution pixel. The apparatus includes logic configured to selectively re-classify the high-resolution pixel as not being in the smooth region of the image based on a set of neighboring high-resolution pixels associated with high-resolution pixel. The apparatus includes logic configured to selectively filter the high-resolution pixel based on whether the high-resolution pixel remains classified as being in the smooth region of the image.

Abstract: A method for providing a LUT for changing color components of pixels of an image includes generating N two-dimensional slices from a three-dimensional LUT. The N two-dimensional slices are arranged in order from a first two-dimensional slice to an Nth two-dimensional slice. The method includes generating N upsampled slices corresponding to the N two-dimensional slices. The N upsampled slices are arranged in order from a first upsampled slice to an Nth upsampled slice. The method includes forming a first group of slices comprising the N upsampled slices, and forming a second group of slices comprising a second two-dimensional slice of the N two-dimensional slices through the Nth two-dimensional slice and a copy of the Nth two-dimensional slice. The method includes storing the first group of slices and the second group of slices, respectively, in a zero level of a mip map and a first level of the mip map.

Abstract: This invention is a method for rectifying an input digital image including warped textual information. The method includes analyzing the input digital image to locate a plurality of local features, at least some of the local features including textual features. A sparse set of local image regions are located corresponding to reliable combinations of spatially-consecutive local features, and corresponding local orientations are determined. A global deformation function is formed by interpolating between the determined local orientations and is used to form a rectified image.

Abstract: A denoising apparatus comprising an image input unit which receives pixel data including color information of pixels included in a correction target image, a denoising unit which denoises the pixel data by a weight based averaging method, wherein the weight is set to a maximum value when a difference value between a correction target block and a comparison target block in the correction target image is zero, decreases linearly to zero as the difference value increases until it reaches a threshold value, and is set to zero when the difference value is greater than or equal to the threshold value, and an image output unit which outputs the pixel data processed by the denoising unit. The denoising unit assigns a corrected weight value to at least a guaranteed number of comparison target blocks for an impulse block, where an impulse block is a correction target block for which the number of non-zero weight valued comparison target blocks is less than a predetermined guaranteed number.

Abstract: A reference image to serve as a reference for a non-defective determination is previously stored in association with identification information for identifying an inspection object. An image of the inspection object is displayed side by side with the reference image of corresponding identification information. A drawn position of the reference image and a drawn position of the acquired image are aligned, adjustment is made so as to make brightness of the reference image coincide with brightness of the acquired image, and adjustment is made so as to make a focus on the reference image coincide with a focus on the acquired image. Adjustment is made so as to make a focus of the reference image coincide with a focus of the acquired image.

Abstract: An image reading device includes a transporter transporting a document to a reading position, a first corrector correcting a skew of the document by coming into contact with a leading edge thereof, a radiating unit radiating light to the document, an image-information acquiring unit acquiring image information of the document based on information of light reflected therefrom, a reflector reflecting the radiated light, a leading-edge detector comparing a quantity of light reflected by the reflector with a quantity of light reflected by the document so as to detect the leading edge, a skew-amount calculator calculating a skew amount of the leading edge, and a second corrector correcting a skew of the image information based on the skew amount. The device switches between the skew correction by the first corrector and the skew correction by the second corrector based on document information, the skew amount, or user's selection.