Abstract: An image forming apparatus comprises an image sensor configured to extend in a horizontal scanning direction, a carriage, a guide section and a reading control section. The carriage configured to move in a vertical scanning direction orthogonal to the horizontal scanning direction to change a reading position of a document. The guide section configured to have a guide surface for guiding the document to the document glass, and a white part, a first colorizing part and a second colorizing part which are formed on the guide surface in line in the vertical scanning direction. The reading control section configured to move the carriage to align the reading position in the vertical scanning direction with one of the white part, the first colorizing part and the second colorizing part and execute a reading processing.

Abstract: Provided is a process and system for detection of sparse or otherwise weak targets in a hyperspectral image. A hyperspectral image is received having a multitude of pixels, with each pixel having a respective spectrum. In some embodiments, multiple mean spectra are selectively determined for respective sub-regions of the hyperspectral image. The subset mean spectra can be selectively removed from respective pixels, thereby improving image fidelity due to sensor artifacts. Additionally, target detection of such an adjusted image can be determined by one or more of matched filter techniques or by partial un-mixing. In at least some embodiments target detection is enhanced by combining a measure of target match with a residual spectrum determined as a measure of un-match. Target detection can be further improved by application of rules, for example, related to target detection threshold.

Abstract: An apparatus is provided that includes a processor and memory storing executable instructions that in response to execution by the processor cause the apparatus to at least perform a number of operations. The apparatus is caused to receive a digital image including pixels each of which has a pixel value that has been calibrated according to a first calibration function for calibrating an image for display by a first monitor. The apparatus is caused to transform the pixel value of each of at least some of the pixels to a corresponding transformed pixel value calibrated according to a second calibration function for calibrating an image for display by a second monitor. The apparatus is also caused to cause output of the digital image including the plurality of pixels each of at least some of which has a transformed pixel value, the respective digital image being displayable by the second monitor.

Abstract: Provided is a process and system for detection of sparse or otherwise weak targets in a hyperspectral image. A hyperspectral image is received having a multitude of pixels, with each pixel having a respective spectrum. In some embodiments, multiple mean spectra are selectively determined for respective sub-regions of the hyperspectral image. The subset mean spectra can be selectively removed from respective pixels, thereby improving image fidelity due to sensor artifacts. Additionally, target detection of such an adjusted image can be determined by one or more of matched filter techniques or by partial un-mixing. In at least some embodiments target detection is enhanced by combining a measure of target match with a residual spectrum determined as a measure of un-match. Target detection can be further improved by application of rules, for example, related to target detection threshold.

Abstract: A method and a system for fusing images in an image processing field are described. The method includes: capturing at least two frames of images having different intensity under different exposure time in the same scene; fusing the images having different intensity values according to an intensity mapping relation between every two frames of images in the images having different intensity values, and obtaining a fused image is, in which the intensity mapping relation represents a corresponding relation between an intensity value of a pixel location in a bright image and that at the corresponding location in a dark image. Through the method and the system for fusing the images according to the present invention, the dynamic range of the image is enhanced, and the fusing process has a desired result and is easy to implement.

Abstract: Methods and apparatus to providing image fusion using a number of image processing approaches. In one embodiment, a single image is processed and image fusion is performed. In exemplary embodiments of the invention, image enhancement, denoising, edge detection, etc., can be provided.

Abstract: A method for reducing scintillation in an image of a scene includes receiving an input sequence of images of the scene and grouping a first plurality of images of the sequence of images into a first subset of images comprising a first number of images that occur in sequence within the input sequence of images of the scene. The method also includes grouping a second plurality of images of the sequence of images into a second subset of images comprising a second number of images that occur in sequence within the input sequence of images of the scene. The method further includes generating a set of averaged images comprising an averaged image for the first subset of images and an averaged image for the second subset of image and outputting a composite image based at least the set of averaged images.

Abstract: Methods, systems and apparatuses are disclosed for approximating vertical and horizontal correction values in a pixel value correction calculation. Multiple vertical and/or horizontal correction curves are used and may be employed for one or more color channels of the imager. The use of multiple correction curves allows for a more accurate approximation of the correction curves for image pixels.

Abstract: A graphics texture data encoding arrangement in which the texels in a texel block 30 to be encoded are divided into different partitions within the block. A reference partitioning pattern for a texel block to be encoded is generated by using a partitioning function 32 to partition the data values for the texels into a number of data value partitions, and then sorting the individual texels in the texel block into respective partitions 33 based on their values. A set of predefined partitioning patterns 35 that the encoding scheme supports is then compared 36 to the generated reference partitioning pattern. The predefined partitioning pattern that best matches 39 the generated reference partitioning pattern is then used 42 to encode the block of texels.

Abstract: Provided is an image processing device. A first color space converting unit converts image data in an RGB colorimetric system, which has a color gamut wider than a color gamut of a liquid crystal panel into image data in an XYZ colorimetric system. A three-dimensional nonlinear color gamut converting unit performs conversion on tristimulus values of the XYZ signal. At this time, the image data is classified into four colors and converted respectively such that the first color is displayed in a color accurate to the inputted data, the second color is displayed such that saturation of the second color is increased, the third color is displayed using a color gamut of a predetermined range out of the color gamut of the liquid crystal panel, and the fourth color is displayed in a color corresponding to a boundary of the color gamut of the liquid crystal panel.

Abstract: Imaging of falling objects is described. Multiple images of a falling object can be captured substantially simultaneously using multiple cameras located at multiple angles around the falling object. An epipolar geometry of the captured images can be determined. The images can be rectified to parallelize epipolar lines of the epipolar geometry. Correspondence points between the images can be identified. At least a portion of the falling object can be digitally reconstructed using the identified correspondence points to create a digital reconstruction.

Abstract: An image processing device (100) includes a gradation correction value acquiring unit (12) that acquires a gradation correction value representing a ratio of a luminance component of an input image and a luminance component of an output image, a chroma analyzing unit (13) that calculates a chroma correction value, in which the total sum of degrees of chroma discrepancy between an analysis image equal to or different from the input image and a corrected image obtained by correcting a luminance component of the analysis image on the basis of one or more gradation correction values is the minimum, in correspondence with the gradation correction value, and an image output unit (14) that outputs as the output image an image obtained by correcting the input image received by the image input unit (11) on the basis of the gradation correction value acquired by the gradation correction value acquiring unit (12) and the chroma correction value correlated with the gradation correction value.

Abstract: An apparatus and a method which enable effective removal of flicker are provided. Under an illumination environment such as a fluorescent lamp with luminance variation, flicker that occurs in images shot with an X-Y address scanning type imaging device such as a CMOS is effectively removed or reduced. The integral value of the row-by-row signal intensity of an image to be corrected from which to remove flicker is calculated, and this integral value is used to detect flicker components contained in individual rows of an image frame. The detected flicker components represent data according to the actual flicker waveform of the illumination, and a correction process is executed using flicker correction coefficients formed by an anti-phase pattern of the flicker components. Effective flicker removal becomes possible through this process.

Abstract: A method for enhancing local contrast of an image. The method comprises receiving a component of an image, computing a wavelets decomposition of the received component into wavelet coefficients, determining at least three subsets of wavelets coefficients based on a first threshold, a second threshold and computed wavelet coefficients, modifying the determined at least three subsets by applying at least a sharpening transformation on wavelet coefficients of at least one subset in said at least three subsets, recombining the at least three subsets into final wavelet coefficients, and reconstructing a new component based on the final wavelet coefficients.

Abstract: An image processing apparatus may have an information management unit that manages image information and control information for each image process, an analysis unit that analyzes an input image signal, a first processing unit that performs a first image process on the input image signal based on first control information, and a second processing unit that performs a second image process on an image signal on which the first processing unit has performed an image process based on second control information, wherein the information management unit sets image information that corresponds to the input image signal and the first control information based on an analysis result, updates the image information based on the set first control information, and sets the second control information based on the updated image information and the first control information.

Abstract: An image processing apparatus for performing a white balance correction for RAW data obtained by an image capturing unit, includes a storage, operable to store a RAW file to which the RAW data and developed data obtained by performing a development processing to the RAW data are attached, and a corrector, operable to perform the white balance correction for the RAW data based on the developed data stored in the storage.

Abstract: Some embodiments provide a method of operating a device to capture an image of a high dynamic range (HDR) scene. Upon the device entering an HDR mode, the method captures and stores multiple images at a first image exposure level. Upon receiving a command to capture the HDR scene, the method captures a first image at a second image exposure level. The method selects a second image from the captured plurality of images. The method composites the first and second images to produce a composite image that captures the HDR scene. In some embodiments, the method captures multiple images at multiple different exposure levels.

Abstract: An image processing apparatus includes an input unit configured to input image data, a detection unit configured to detect a region corresponding to local light in an image represented by the image data input by the input unit, and a processing unit configured to perform blur processing on the region corresponding to the local light and detected by the detection unit, wherein the processing unit varies, according to a position of the region corresponding to the local light and detected by the detection unit, an area on which to perform the blur processing.

Abstract: A method includes invoking an image capture interface via a mobile device; and analyzing video data captured via the capture interface. The analysis includes determining whether an object exhibiting one or more defining characteristics is depicted within the viewfinder; and if so, whether that object satisfies one or more predetermined quality control criteria. The method further includes displaying an indication of success or failure to satisfy the predetermined control criteria on the mobile device display. Where the object depicted within the viewfinder satisfies the one or more predetermined quality control criteria, the method also includes: displaying an indication that the object depicted in the viewfinder exhibits the one or more defining characteristics; automatically capturing an image of the object; and/or automatically storing to memory one or more of the frames in which the object is depicted in the viewfinder. Systems and computer program products are also disclosed.

Abstract: Image processing apparatus in which a spatial frequency around a pixel of interest and a statistic value of pixel values around the pixel of interest are calculated based on a pixel value of the pixel of interest and a pixel value of a pixel around the pixel of interest. Correction parameters are stored corresponding to sets of spatial frequencies and statistic values. A correction parameter is acquired corresponding to the spatial frequency around the pixel of interest and the statistic value of the pixel values around the pixel of interest, as a correction parameter for the pixel of interest. The pixel value of the pixel of interest is corrected using the correction parameter for the pixel of interest.

Abstract: Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Abstract: Local contrast enhancement comprises obtaining a first frame as a reference frame and a second frame as a current frame. The reference frame is partitioned into a plurality of reference regions, and a first color mapping function is derived for at least one of the reference regions in the reference frame according to the corresponding color distribution. The first color mapping function comprises, for at least one of a predetermined set of colors, a first source color value and a first contrast-enhanced color value. The current frame is partitioned into a plurality of regions, and a second color mapping function is derived for at least one of the regions in the current frame according to the first color mapping functions of at least two of the reference regions in the reference frame. The second color mapping function is applied to generate a contrast-enhanced frame.

Abstract: A Braille-to-Braille facsimile machine implemented process scans an original Braille document, obtaining an image of the original Braille document. The image of the original Braille document is processed, producing an extracted Braille image and duplicating formatting of the original Braille document to produce a copy of the original Braille document. The copy of the original Braille document is sent, via a communications link and received. The copy of the original Braille document is then printed.

Abstract: A camera device (1) includes an imaging unit (2) which outputs a long exposure signal and a short exposure signal in one field period. A face detection unit (8) detects a face area from an image captured by the imaging unit (2). The weighting processing unit (12) applies a weighting process to luminance data of the long exposure signal in the detected face area using a weighting constant for reducing the luminance level of the long exposure signal. If the luminance level of the weighting-processed long exposure signal rises to a predetermined saturation level or higher, an exposure control unit (15) performs exposure control using the long exposure signal and the short exposure signal. This can suppress occurrence of a noise due to a short exposure signal (flickering) in the face area, thereby improving visibility in the face area.

Abstract: Implementations generally relate to enhancing content appearance. In some implementations, a method includes receiving an image, selecting a reference object in the image. The method also includes determining one or more image parameter adjustments based on the selected reference object, and applying the one or more image parameter adjustments to the entire image.

Abstract: What is disclosed is a system and method for real-time enhancement of an identified time-series signal of interest in a video that has a similar spatial and temporal structure to a given reference signal, as determined by a measure of closeness. A closeness measure is computed for pixels of each image frame of each channel of a multi-channel video to identify a time-series signal of interest. The intensity of pixels associated with that time-series signal is modified based on a product of the closeness measure and the reference signal scaled by an amplification factor. The modified pixel intensity values are provided back into the source video to generate a reconstructed video such that, upon playback of the reconstructed video, viewers thereof can visually examine the amplified time-series signal, see how it is distributed and how it propagates. The methods disclosed find their uses in remote sensing applications such as telemedicine.

Abstract: A method of automatically determining a need to service a digital image acquisition system including a digital camera with a lens assembly includes analyzing pixels within one or more acquired digital images according to probability determinations that such pixels correspond to blemish artifacts. It is automatically determined whether a threshold distribution of blemish artifacts is present within one or more of the digital images. A need for service is indicated when at least the threshold distribution is determined to be present.

Abstract: Methods, apparatus, and computer-readable storage media for fast adaptive edge-aware matting in which a matting technique adaptively feathers selections, provides smooth color correspondence matting, and performs well in textured regions. The matting technique may require fewer strokes and less parameter tuning than conventional matting techniques. The matting technique may have two components implemented in a matting pipeline. A color similarity component implements a color similarity constraint technique based on a radial basis function (RBF) technique to generate a color-constrained mask, and a locality constraint component implements a locality constraint technique based on a fast flood fill technique to generate a locality-constrained mask. The final mask (or matte) output may be an element multiply of the masks generated by the two components.

Abstract: An image processing circuit includes: a correction amount calculation section which calculates a correction amount from area-by-area correction amounts set respectively for two, corresponding to the hue of input image data, out of a plurality of areas into which the hue/saturation plane is divided; and a color correction processing section which generates output image data by subjecting the input image data to color correction processing according to the correction amount.

Abstract: An HTML file for making a browser adapted to a canvas element in HTML5 perform a process of color conversion of a specified image with specified characteristics and display the converted image at high speed. In the process of carrying out color conversion of the specified image with specified characteristics and displaying the converted image, an algorithm is employed such that data manipulation on a pixel-by-pixel basis is not instructed from the HTML file to the browser, but instead a plurality of instructions are given to overwrite an entire area of a bitmap image as original image data, and data derived therefrom are expanded onto a canvas uniformly with color of an appropriate brightness value and transparency.

Abstract: Multiple-exposure high dynamic range image processing may be performed that filters pixel values that are distorted by blooming from nearby saturated pixels. Pixel values that are near saturated pixels may be identified as pixels that may be affected by blooming. The contributions from those pixels may be minimized when producing a final image. Multiple-exposure images may be linearly combined to produce a final high dynamic range image. Pixel values that may be distorted by blooming may be given less weight in the linear combination.

Abstract: Techniques related to identifying objects in a video are generally described. One example method for identifying a moving object in a video may include generating a background frame and a foreground frame based on the video, comparing the foreground and the background frames at each corresponding location, acquiring an object area based on the comparison, determining if object area contains a moving object based on size and shape of the object area, identifying the moving object against templates of target objects, and updating the background frame according to the comparison.

Abstract: A method for obtaining and/or enhancing local contrast differences (LD) in digital image input data (in), wherein a local contrast measure (SADap) approximating a two-dimensional sum of absolute difference (SAD) measure is obtained by obtaining a first-dimension sum of absolute difference measure (energyVk(m, n)) representing a sum of absolute difference (SAD) in a first dimension of at least one image region, and obtaining the local contrast measure (SADap) as a second-dimension convoluted first-dimension sum of absolute difference measure by convoluting the first-dimension sum of absolute difference measure (energyVk(m, n)) in a second dimension of the at least one image region, is proposed, wherein the step of obtaining the local contrast measure (SADap) as the second-dimension convoluted first-dimension sum of absolute differences measure further includes an addition step wherein an energy term (?lpfk(j)) representing a first-order difference on a distance (J) of a low pass filtered signal used in obtaini

Abstract: Characteristic curves representative of ridges or edges in an image can be generated from a gradient magnitude image and gradient vector data associated with the image. Such characteristic curves may be evaluated with filter criteria in order to identify whether a characteristic curve or curves is indicative of a feature in the image. Filter criteria can be determined to identify a desired feature in the image, whereby the filter criteria evaluates a characteristic curve or curves, or points in a characteristic curve or curves in order to identify features in the image. Identified features can be graphically indicated on the display of a computing device.

Abstract: In an image processing apparatus, a process display unit displays on the display a plurality of candidate image processes to be performed on the image data. The plurality of candidate image processes includes a sepia image process. A process receiving unit receives an instruction indicating the sepia image process selected from among the plurality of candidate image processes. A process storing unit stores the selected sepia image process. An image display unit displays a display image corresponding to the image data on the display. An image designating unit designates a display image. The image display unit displays a processed display image that represents a result of the selected sepia image process performed on the image data corresponding to the designated display image before performing the selected sepia image process on the image data corresponding to the designated display image.

Abstract: The present invention discloses a method of image denoising and method of generating motion vector data structure thereof. The method comprises: providing an image sequential capturing module to capture and to receive the plurality of images; generating a global motion vector based on the plurality of images in accordance with a first algorithm; reducing each image as reduced images; dividing each of the first reduced images into a plurality of first areas and generating a first local motion vector based on each of the first areas in accordance with a second algorithm, and via the similar way for generating a second local motion vector; finally, obtaining motion vector data in the plurality of images according to the global motion vector, each of the first local motion vectors and each of the second local motion vectors.

Abstract: An apparatus includes a processor and a memory configured to store computer-readable instructions that, when executed, cause the apparatus to perform steps comprising calculating a first angle characteristic and an intensity of the first angle characteristic with respect to each of pixels, arranging a first line segment in a position corresponding to a first pixel based on the first angle characteristic, calculating a second angle characteristic of a second pixel based on the first angle characteristic of at least one pixel adjacent to the second pixel, acquiring information indicating a third angle characteristic, calculating a fourth angle characteristic based on the second angle characteristic and on the third angle characteristic, arranging a second line segment in a position corresponding to the second pixel based on the calculated fourth angle characteristic, and creating data indicating at least stitches that respectively correspond to the first line segment and the second line segment.

Abstract: An image processing method is adapted for color enhancement of an original image pixel. The original image pixel is composed of a plurality of pixel components each having a component value. The image processing method includes: determining a hue region to which the original image pixel belongs based directly on the component values of the pixel components thereof; selecting a color enhancement parameter corresponding to the determined hue region; and obtaining a color enhanced pixel according to the selected color enhancement parameter and the component values of the pixel components of the original image pixel.

Abstract: A processing resource receives original image data by a surveillance system. The original image data captures at least private information and occurrence of activity in a monitored region. The processing resource applies one or more transforms to the original image data to produce transformed image data. Application of the one or more transforms sufficiently distorts portions of the original image data to remove the private information. The transformed image data includes the distorted portions to prevent access to the private information. However, the distorted portions of the video include sufficient image detail to discern occurrence of the activity in the retail environment.

Abstract: An image comprising varying illumination is selected. Instances of a repeating pattern in the image is determined. Illumination values for pixels at locations within instances of the repeating pattern are calculated responsive to pixel intensities of pixels at corresponding locations in other instances of the repeating pattern. The varying illumination is removed form the image responsive to the illumination values.

Abstract: A signal adapting chromacity system to control that may include a signal conversion engine to receive a source signal designating a color of light defined by a two spatial plus luminance dimensional color space, such as the xxY color space. The signal conversion engine may convert the source signal to a three dimensional color space defined within a subset gamut of a full color gamut, such as an RGW, RBW, or GBW color space. The subset gamut may include a first color light, a second color light and a high efficacy light. The signal conversion engine may perform a conversion operation to convert the source signal to an output signal, using the output signal to drive light emitting diodes (LEDs). The conversion operation may be a matrix, angular or linear conversion operation.

Abstract: An image enhancement system may generate a net signed fractional modulation value at each location in an image using a modulation strength map (MSM) in combination with a modulation kernel F(?). The system may scale an image value at each location using the net signed fractional modulation value at each location. Application of the algorithm may not result in systematic clipping of peri-edge locations to maximum or minimum brightness values, or any other form of systematic homogenization of values at peri-edge locations.

Abstract: According to one embodiment, an electronic apparatus includes a calculator and a processor. The calculator calculates a weighted average image from a first image, a second image and a third image, by using a weight based on a difference between the first image and the second image and a difference between the first image and the third image. The processor applies, based on the weight, an image quality process of a first intensity to a first position in the weighted average image, applies an image quality process of a second intensity weaker than the first intensity to a second position in the weighted average image and to applies an image quality process of a third intensity weaker than the second intensity to a third position in the weighted average image.

Abstract: Methods and apparatus may be applied to reconstruct pixel values in saturated regions of an image. Saturated regions are identified and hues for pixels in the saturated regions are estimated based on hues in boundaries of the saturated regions. Gradients for pixel values in saturated color channels within the saturated region may be estimated based on known gradients for non-saturated color channels. Reconstructed pixel values may be derived from the estimated gradients. The methods and apparatus may be applied in conjunction with dynamic range expansion.

Abstract: A method of producing a color image using a display comprised of pixels comprising red, green and blue primary color subpixels. The method comprises reducing the color gamut and increasing the brightness of the image relative to a base level, decreasing power to the display to reduce the brightness of the image, restoring color to the image to approximately the base level by modifying image pixel data using a three-dimensional lookup table to produce output image pixel data, and communicating the output image pixel data to the display. The display may be an LCD display, an LED display, an OLED display, a plasma display, and a DMD projector. Reducing the color gamut and increasing the brightness of the image may be accomplished by adding white to the image. The white may be added adaptively according to an algorithm by which the amount of white added decreases with increasing color saturation.

Abstract: An image processing device includes: a luminance saturation position detection unit which detects a luminance saturation position to produce a light source image; a flare model production unit which produces a flare model image based on the light source image and optical characteristics data of the optical system; a flare position setting unit which sets, as a flare position, a predetermined image position in the captured image and located near the luminance saturation position and on a side of an optical axis relative to the luminance saturation position; a flare model luminance adjustment unit which produces the estimated flare image by adjusting luminance gain of the flare model image, based on a relationship between a luminance value of the captured image at the flare position and a luminance value of the flare model image at the flare position; and an unnecessary light subtraction unit which subtracts the estimated flare image from the captured image.

Abstract: According to one embodiment, an image processing apparatus includes a shading correction unit. The shading correction unit executes at least one of the use of shading correction parameters calculated in accordance with exposure information for capturing a subject image and the adjustment of a center position in a two-dimensional direction which is used as the basis of the shading correction in accordance with the exposure information.

Abstract: The present invention an image processing apparatus, which processes an image of a tomogram obtained by capturing an image of an eye to be examined by a tomography apparatus, comprises, layer candidate detection means for detecting layer candidates of a retina of the eye to be examined from the tomogram, artifact region determination means for determining an artifact region in the tomogram based on image features obtained using the layer candidates, and image correction means for correcting intensities in the artifact region based on a determination result of the artifact region determination means and image features in the region.

Abstract: A system and method for detecting human skin tone in one or more images. The system includes an image processing module configured to receive an image and provide contrast enhancement of the image so as to compensate for background illumination in the image. The image processing module is further configured to detect and identify regions of the contrast-enhanced image containing human skin tone based, at least in part, on the utilization of multiple color spaces and adaptively generated thresholds for each color space. A system and method consistent with the present disclosure is configure to provide accurate detection of human skin tone while accounting for variations in skin appearance due to a variety of factors, including background illumination and objects.

Abstract: System and methods for gamut bounded saturation adaptive color enhancement are provided. Color enhancement incorporating gamut bounded saturation enhances colors of an pixel from a source color gamut such that the resulting color is within a target color gamut. This resulting color may, for example, take advantage of an expanded target color gamut of a display. Gamut bounded saturation may be implemented independently or in combination with RGB bounded saturation.