Abstract: A correction value determination unit determines a light quantity correction value for each main scanning position of each original based on a reading value obtained by an image reading unit reading a reference member. An anomaly detection unit detects, based on the light quantity correction value with respect to the preceding original and the light quantity correction value with respect to the succeeding original, an anomaly in the correction value, and specifies a main scanning position at which the anomaly occurs. A modification unit modifies a reading value at the main scanning position at which the anomaly occurs, out of reading values obtained from the reference member with respect to the succeeding original, or a correction value for the main scanning position at which the anomaly occurs, out of light quantity correction values with respect to the succeeding original.

Abstract: A pixel in a photograph region image to be subjected to blacking is subjected to a brightness modulation processing so that the pixel is modulated to any of “a pixel having the brightness to be subject to blacking” and “a pixel having the brightness not to be subject to blacking”. Specifically, the modulation by noise addition converts some pixels for which original pixel values are to be subjected to blacking to a pixel having the brightness not subjected to blacking. Thereby, “a pixel having the brightness not to be subject to blacking” thus converted has no change in brightness in the blacking processing. Consequently, a pixel at which the blacking processing is not generated can be caused to exist in the photograph image. As a result, even when the blacking processing set for character/line region is similarly set for the photograph region, the effect of the blacking can be reduced.

Abstract: A method, system and computer readable media for real-time chromakey matting using image statistics. To identify the chroma key spectrum, the system/method executes in three stages. In an off-line training stage, the system performs semi-automatic calibration of the chroma key parameterization. In the real-time classification stage, the system estimates the alpha matte on a GPU. Finally, an optional error minimization stage improves the estimated matte, accounting for misclassifications and signal noise. Given the resulting matte, standard alpha blending composites the virtual scene with the video feed to create the illusion that both worlds coexist.

Abstract: This invention is directed to an image processing apparatus and method capable of analyzing a character image to detect a blur, and reducing the blur on a printed product. According to the method, a scanner reads an original character image, generating image data. A blur and deterioration of a character image represented by the image data are detected. Portions corresponding to the detected blur or the deterioration are removed from the image data. The image data from which the portions corresponding to the blur or the deterioration are removed is output to an image output unit.

Abstract: An image correction apparatus includes a read image acquiring unit that acquires read image data generated by an imaging device that moves in a sub-scanning direction with respect to a reading medium irradiated with an environmental light to read the reading medium; a selecting unit that selects a correction filter for correcting a pixel of interest in the acquired read image data based on brightness or luminance component of a pixel in a determination filter including the pixel of interest; and a correction unit that corrects tone data of the pixel of interest based on the correction filter selected by the selecting unit. The determination filter includes a plurality of determination filters in which a number of pixels to be used in the sub-scanning direction differs.

Abstract: A display device and a method for driving the display device are provided. A pre-gain correction value that can emphasize a contour portion of an image is set by using luminance data detected from an input video signal. The pre-grain correction value is differently amplified in accordance with different light emitting materials that emit light of different colors red, green and blue. The contour portion is thus emphasized, and the contour can be stably emphasized regardless of different life-spans of different light emitting materials emitting lights of colors red, green and blue.

Abstract: An image-reading apparatus includes a light dividing unit that divides irradiated light so that a part of the light having a first wavelength is diffracted, and a part of the light having a second wavelength is transmitted; a first light measuring unit that measures an intensity of light entering into a first measuring area, and outputs first measurement information indicating the measured intensity; a second light measuring unit that measures an intensity of light entering into a second measuring area, and outputs second measurement information indicating the measured intensity; an image-forming unit that forms an image of a subject for reading in the first measurement area, and that forms a virtual image in the second measurement area using light diffracted by the light dividing unit; and a generation unit that corrects the first measurement information on the basis of the second measurement information.

Abstract: A method of processing a digital image which includes at least one contour zone, including a contour zone sharpness processing. The sharpness processing includes a conversion of the cues regarding level of pixels of the contour zone into initial main cues, lying between zero and a main value dependent on the amplitude of the contour, a sharpness sub-processing performed on these initial main cues so as to obtain final main cues, and a conversion of the final main cues into final cues regarding levels.

Abstract: A method for coherence noise filtering in an optical coherence tomography system comprises generating a background image containing coherence noise, generating a sample image, generating composite pixel values from pixel values in the background image based on the mean pixel values from lines in the background image, and subtracting the composite pixel values from complex pixel values in the sample image.

Abstract: Methods and systems for image noise filtering are provided. One method of image noise filtering includes generating a plurality of sub-images of a digital image, applying a noise filter with small support to each sub-image, and generating a filtered digital image by merging the filtered sub-images. Another method of image noise filtering includes receiving a digital image including a plurality of color channels in the Bayer domain, applying a strong noise filter to each color channel to generate filtered color channels, computing a luminance image from the digital image, applying a weak noise filter to the luminance image to generate a filtered luminance image, computing a luminance recovery factor map using the luminance image and the filtered luminance image, and computing output color channels of the digital image using the filtered color channels and the luminance recovery factor map.

Abstract: A reference-signal generating unit generates a reference signal for generating a driving signal to drive other units of the image reading device. A frequency modulating unit modulates frequency of the reference signal, thereby generating a frequency-modulated reference signal. A driving-signal generating unit generates the driving signal from the frequency-modulated reference signal. A photoelectric converting unit converts an incident light into an analog image signal using the driving signal. An AD converting unit converts the analog image signal into a digital image signal. A correcting unit corrects the digital image signal by generating a correction signal for eliminating a noise superimposed on the digital image signal using the frequency-modulated reference signal and adding the correction signal to the digital image signal.

Abstract: The present invention relates to a device and method (100) of generating a depth map for an image using monocular information, the method comprising: generating (110) a first depth map for the image (205), wherein the first depth map corresponds with an estimate of a global depth profile of a scene depicted in the image, generating (120) a second depth map for the image, wherein a depth value associated with a pixel in the second depth map is based on depth values in the first depth map within a region spatially proximate to the pixel and at least one of color and luminance values of the image within the region and generating (130) a third depth map for the image using depth values from the first depth map and the second depth map, the generating scaling a depth difference, such that a difference between a depth value of the third and first depth map is scaled compared to the corresponding difference between a depth value of the second and first depth map.

Abstract: A system and method for creating a three dimensional cross sectional image of an object by the reconstruction of its projections that have been iteratively refined through mathematical transformations and modifications in object space and Fourier space is disclosed. A primary benefit of the method is radiation dose reduction since the invention can produce an image of a desired quality with a fewer number projections than seen with conventional methods.

Abstract: Due to an accumulated error from the pair-wise registration, the stitched image may be blurred or have a gap when a loop is encountered. In order to remove the accumulated error, we identify a closed loop where a first image frame overlaps with a second image frame, the second image frame being captured earlier in a scanning sequence than the first image frame; register the first image frame with the second image frame; and apply a global optimization to adjust registration parameters for the plurality of pair-wise registrations of image frames within the closed loop using global constraints.

Abstract: A system and method for three-dimensional (3D) acquisition and modeling of a scene using two-dimensional (2D) images are provided. The system and method provides for acquiring first and second images of a scene, applying a smoothing function to the first image to make feature points of objects, e.g., corners and edges of the objects, in the scene more visible, applying at least two feature detection functions to the first image to detect feature points of objects in the first image, combining outputs of the at least two feature detection functions to select object feature points to be tracked, applying a smoothing function to the second image, applying a tracking function on the second image to track the selected object feature points, and reconstructing a three-dimensional model of the scene from an output of the tracking function.

Abstract: A reference area is extracted from image data, and from the pixels included in the reference area, extracted are a plurality of small sections in which pixels are arranged so as to be symmetrical with respect to the center pixel of the reference area in the horizontal and vertical directions, and point-symmetrical with respect to the center pixel, while overlap of pixels is allowed between each of the small sections. Determination is made as to whether or not image data included in the reference area matches a predetermined pattern. A characteristic of the image data in the reference area is determined based on a number of characteristics of the plurality of small sections. Based on the results of the determination, it is judged whether or not to perform smoothing on the center pixel of the reference area. Then, the smoothing is performed on the judged center pixel.

Abstract: A method for performing de-noise processing includes: with regard to each direction of a plurality of directions, summing up absolute values of differences between a plurality of sets of first pixel values around a target pixel of an image to generate a first detection value, and with regard to each direction of at least a portion of the directions, selectively averaging at least one set of second pixel values around the target pixel to generate a second detection value; sorting a plurality of pixel values around the target pixel and generating a third detection value accordingly; and with regard to a specific direction of the directions, performing de-noise processing on the target pixel according to at least the former two of the first detection value, the third detection value, and the second detection value. An associated apparatus is also provided.

Abstract: A method for performing bad pixel compensation includes: with regard to each direction of a plurality of directions, summing up absolute values of differences between a plurality of sets of first pixel values around a target pixel of an image to generate a first detection value, and with regard to each direction of at least a portion of the directions, summing up absolute values of differences between a plurality of sets of second pixel values around the target pixel to generate a second detection value, where each set of the sets of first pixel values and the sets of second pixel values includes two pixel values corresponding to a difference; and with regard to a specific direction of the directions, selectively performing bad pixel compensation on the target pixel according to the first detection value and the second detection value. An associated apparatus is also provided.

Abstract: There is provided a method of and an apparatus for generating high sensitivity images in a low light level environment, the method including correcting an image acquired through short-time exposure in a low light level environment to an image corresponding to a reference exposure time defined for the low light level environment, the corrected image including a plurality of channels, detecting respective black levels for each of the channels, the detecting of the respective black levels being based on a black level intensity for the reference exposure time, adjusting the respective black levels for each of the channels of the corrected image to respective target black levels for each of the channels, and aligning a value of each of the channels using the respective target black levels.

Abstract: A most used color that is a most popularly used color is obtained in an image. Pixel groups formed of continued pixels having an identical color other than the most used color in the image is extracted as first pixel groups. Pixel groups having a color of which a color difference with respect to the most used color is smaller than a predetermined threshold and having a size thereof that is smaller than a predetermined size is extracted as third pixel groups among the first pixel groups thus extracted. The first pixel groups other than the third pixel groups are taken as second pixel groups. An image is generated by replacing colors of portions, which correspond to the second pixel groups in an image having an area identical with that of an image to be processed and filled with the most used color, with the corresponding second pixel groups, respectively.

Abstract: An image forming apparatus includes a light emission element, a lighting signal generation section, a storage section, a communication line, a control section and an electromagnetic noise generation source. The storage section stores data used when the lighting signal generation section generates a lighting signal. The lighting signal generation section and the storage section transmit and receive the data therebetween through the communication line. The control section that controls the transmitting and receiving of the data between the lighting signal generation section and the storage section. The control section controls so as to start the transmitting and receiving of the data between the storage section and the lighting signal generation section in a state where a magnitude of the electromagnetic noise, at a position where the lighting signal generation section is disposed, generated by the electromagnetic noise generation source is smaller than a predetermined value.

Abstract: PSF coding has become well known in recent years. Although it enables significant increases in the depth of field, defocus introduces artifacts in images that are a major detraction from the final image quality. A method is described that enables the deduction or defocus and consequently the removal of these artifacts. The principle of the disclosed techniques involves iteratively adjusting the restoration algorithm according to a chosen image or artifact metric and choosing the defocus parameter that yields the image the lowest level of artifact.

Abstract: As set forth herein, a computer implemented method is used to detect synchronized defects in documents. Profiles of single separation test targets are characterized for one or more toner colors. A spatially varying toner reproduction curve (TRC) is constructed for each profile on terms of an area coverage in versus area coverage out. A profile is extrapolated for each color of interest and a CMYK profile is applied to obtain a correlating L*a*b* profile for each color of interest.

Abstract: An image processing unit generates image data of an image based on an output signal from an imaging device, corrects the image data, and outputs corrected image data. An optical filter is structured such that an upper limit of a transmitting wavelength decreases as a distance from an optical axis of the imaging optical system increases on an imaging plane of the imaging device so that a light in an infrared region is transmitted on the optical axis and cut off at a position farthest away from the optical axis on the imaging plane. The image processing unit corrects the image data based on a correction equation corresponding to the upper limit of the transmitting wavelength.

Abstract: Methods and systems for increasing the signal-to-noise ratio for satellite sensor data or signals, such as hyperspectral imageries (also referred to as datacubes due to their 3-dimensional nature). This is done by reducing the noise in the data or signals by first elevating the noise level temporarily for effective denoising. The denoising process is then performed in this condition and the noise level is then reversibly de-elevated after denoising. The denoising process comprises noise removal in both the spectral and the spatial domains. Once the denoising process is complete, the data is converted back from the spectral and spatial domains. Since this reconstruction process introduces errors, these errors are compensated for using the components from both the original data and denoised data filtered by the low pass filters.

Abstract: The reading apparatus is provided with: an optical image forming unit that forms an optical image on a recording medium by irradiating, with light, the recording medium on which an image is formed and which is transported in a slow scan direction; a reading unit that reads a position in a fast scan direction of the image formed on the recording medium transported in the slow scan direction and a position in a fast scan direction of the optical image, by using a minification optical system; and a registration correction unit that corrects a registration error in the fast scan direction of the image read by the reading unit, by using the position in the fast scan direction of the optical image read by the reading unit.

Abstract: Even when an enlarged image is deteriorated due to a block noise or color mixture, the contour in the enlarged image is sharpened and a quality of the image is improved. A contour extracting unit 103 determines a pixel indicating the contour in an interpolation image, using brightness gradient strength and a brightness gradient direction.

Abstract: A gradation conversion processor performs gradation conversion processing on image data on the basis of a predetermined gradation conversion characteristic, and a noise reduction processor performs noise reduction processing on the image data. Subsequently, a combining-ratio calculator calculates a combining ratio between the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the gradation conversion characteristic, and a combiner combines the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the combining ratio.

Abstract: The grayscale of an input signal is converted without amplifying noise components thereof. A grayscale conversion portion performs grayscale conversion on an input signal IS to create a converted signal TS, a noise reduction degree determining portion determines a noise reduction degree NR that expresses a strength of noise reduction processing to be applied to the converted signal based on the input signal IS and the converted signal TS, and a noise reducing portion executes noise reduction processing on the converted signal TS based on the noise reduction degree NR. By doing this, it is possible to convert the grayscale of the input signal without enhancing the noise.

Abstract: An image processing method for executing edge enhancement for an original image includes: extracting edge components based upon the original image; correcting the extracted edge components by attenuating the individual edge components so that a frequency distribution related to intensity of the edge components approximates a Gaussian distribution assuming a specific width; and executing edge enhancement for the original image based upon the corrected edge components.

Abstract: Systems and methods are disclosed for processing a low resolution image by performing a high resolution edge segment extraction on the low resolution image; performing an image super resolution on each edge segment; performing reconstruction constraint reinforcement; and generating a high quality image from the low quality image.

Abstract: Provided are a noise reduction apparatus having an edge enhancement function and a method thereof, in which edges in an input image can be prevented from being blurred when reducing noise in the input image and a clear output image can be obtained by reducing edge discontinuities. The noise reduction apparatus includes a window setting module which sets a portion of an input image as a window, an edge-information detection module which detects edge information regarding the window, an image processing module which performs an image processing operation on the window, and an output-image generation module which generates an output image by reflecting the edge information into one or more windows obtained by the image processing operation.

Abstract: Methods for creating reference images of fiber optic sensor plates for use in electron microscopes. The methods include taking of reference images of stripe or dot patterns. The spatial frequency of the stripe or dot patterns is such that image artifacts of the fiber optic stacks is recorded. The reference images can then be used to correct for these artifacts.

Abstract: The present invention provides a method for extracting an image texture signal, a method for identifying image and a system for identifying an image. The method for extracting an image texture signal comprises the following steps: extracting a first image signal; employing a first operation procedure to the first image signal to obtain a second image signal; employing a second operation procedure to the second image signal to obtain a third image signal; employing a third operation procedure to the third image signal to obtain a fourth image signal; outputting the fourth image signal. Therefore, the first image signal is transformed to the fourth image signal via the method for extracting an image texture signal.

Abstract: An image reading device includes: a foreign-matter image position detection unit that detects a predetermined foreign-matter image from the image read by a document reading unit when the document conveyed by a document conveying unit comes off from a document reading position and detects a main scanning direction position of the foreign-matter image in the main scanning direction; and a lighting control unit that lights up the light-emitting element group arranged in the main scanning direction and lights up the light-emitting elements within a predetermined range from the main scanning direction position of the foreign-matter image in a light emission mode that is different from a light emission mode of other light-emitting elements when the foreign-matter image is detected by the foreign-matter image position detection unit.

Abstract: An imaging device of the present invention includes an image capturing unit, a noise obtaining unit, a fixed noise calculating unit, and a noise eliminating unit. The image capturing unit generates image data by photoelectrically converting, pixel by pixel, a subject image formed on an available pixel area of a light-receiving surface. The noise obtaining unit reads a noise output from a partial area of the available pixel area. The fixed noise calculating unit calculates an estimation of fixed pattern noise of the available pixel area based on the noise output read from the partial area. The noise eliminating unit subtracts the fixed pattern noise from the image data.

Abstract: A method for recovering a contour using combinatorial optimization includes receiving an input image, initializing functions for gradient f, smooth background g, and contour r, determining an optimum of the gradient f of a region R in the input image, extending the optimum of the gradient f of region R to a complement of R, determining an optimum of the smooth background function g for a region Q corresponding to the complement of R, extending the optimum of the smooth background function g of region Q to a complement of Q, and determining an optimum contour r according to the optimum of the gradient f and the optimum of the smooth background function g.

Abstract: An image process system applies a specific process to image data inputted via an input device and outputs the image data, to which the specific process has been applied, to an output device. The system includes: an input information acquisition portion that acquires information about the input device through which the image data is inputted; an output information acquisition portion that acquires information about the output device to which the image data inputted via the input device is to be outputted; a process execution portion that executes the specific process to the image data inputted via the input device on the basis of the information acquired by the input information acquisition portion and the output information acquisition portion; and a data output portion that outputs the image data, to which the specific process has been applied in the process execution portion, to the output device.

Abstract: A method for reducing noise in a color image captured using a digital image sensor having pixels being arranged in a rectangular minimal repeating unit. The method comprises, for a first color channel, determining noise reduced-pixel values using a first noise reducing process that includes computing weighted pixel differences by combining the pixel differences with corresponding local edge-responsive weighting values. The method further comprises a second noise reducing process that includes computing weighted chroma differences by combining chroma differences with corresponding local edge-responsive weighting values.

Abstract: An image reading apparatus includes a reading system having a plurality of line sensors extending in a main-scan direction, an imaging optical system for imaging, on the line sensors, imagewise information of an original surface, the imaging optical system including at least one anamorphic optical surface having different powers in the main-scan direction and the sub-scan direction, a scanning system for relatively scanning the original surface and the reading means in a sub-scan direction to read the imagewise information of the original surface, and an image correcting system for correcting imagewise information of the original surface read by each line sensor, on the basis of an imaging-position-deviation correction amount of an image in the sub-scan direction corresponding to a reading position in the main-scan direction, calculated based on an imaging position deviation amount of an image in the sub-scan direction corresponding to the reading position in the main-scan direction upon the line sensors, as

Abstract: A multi-functional peripheral allows a user to select a productivity priority mode or an image quality priority mode. In the productivity priority mode, a scanner performs a reading operation without moving first and second carriages in a sub-scanning direction, a foreign object image removing processing is executed in accordance with image data obtained by the reading operation, and image forming is performed in accordance with the image data applied with image processing. In the image quality priority mode, the first and second carriages are moved from a reading position P to a reading position P? at which the foreign object does not adhere to a reading slot, the scanner performs the reading operation, and an image forming is performed in accordance with image data applied with image processing not including the foreign object image removing processing.

Abstract: A scanning apparatus includes a scanning head that scans an image of a document positioned on a stage glass, but varying in its distance therefrom. A boundary line is detected to determine an amount of skew therein. A skew line is compared with an established reference line, and a correction factor is calculated based on the result of the comparison. The original image processed to map the boundary line to the reference line and image data inside of the boundary line is similarly mapped based on the calculated correction factor. Beneficially, skews of an image produced when a thick book is scanned can be corrected simply.

Abstract: An image processing device and an image processing method of the invention generate multiple images having different edge preservation performances based on an original image, and synthesize the multiple images based on edge information. In the synthesis, the generated images are synthesized in such a manner that an image of an edge portion in the generated image having a low edge preservation performance is replaced by the generated image having a high edge preservation performance.

Abstract: Aspects of the present invention relate to creation, modification and implementation of dither pattern structures applied to an image to diminish contouring artifacts. Some aspects relate to dither pattern structures with pixel values in a first color channel pattern that are spatially dispersed from pixel values in a corresponding pattern in a second color channel. Some aspects relate to application. Some aspects relate to systems and apparatus for creation and application of these dither pattern structures comprising pixel values dispersed across color channels.

Abstract: An image processing apparatus specifies an evaluation-target area that tends to produce distortion in an object contained in an image, and calculates amount of distortion produced in vectorization of the object by comparing the shape of the object and the shape of a vectorized object obtained by vectorizing the object in the specified evaluation-target area. The apparatus further revises the shape of the vectorized object in the evaluation-target area so as to approach the shape of the object when the amount of distortion is larger than a predetermined reference value.

Abstract: This invention is directed to a method capable of performing appropriate under color removal in image original reading. According to this method, under color removal of the original is performed as follows. A printing medium without any printed image is read by primary and complementary color readings. A brightness signal distribution is generated by converting, using a provisional table, each of image data generated by the reading methods. The lowest one of signal levels is selected from each of the distributions. In correspondence with each of the primary and complementary color readings, a conversion table is formed, which converts the image data to make a pixel value corresponding to the selected lowest one of the signal levels to a value representing white. Under color removal of the image data is performed using a corresponding conversion table in accordance with the reading method of the image original.

Abstract: A signal processing apparatus for performing a filtering process on an input image using a plurality of filters to generate an output image includes the following elements. A region variance value calculating unit calculates a region variance value for a region around a predetermined pixel used as a pixel of interest on the input image. A filter processing unit applies a filtering process to a pixel value of the pixel of interest using the filters. A reflection amount determining unit determines a reflection amount based on the region variance value. A combining unit calculates a pixel value of a pixel of the output image corresponding to the pixel of interest on the basis of respective filter output values obtained by filtering processes applied by a plurality of filter processing units, respective reflection amounts determined with respect to the filter output values, and the pixel value of the pixel of interest.

Abstract: A development server for more easily creating an image having a quality of image matching the desire and preference of the user from image data such as RAW data from which the user cannot develop.

Abstract: An image reader includes: an average calculation unit which calculates an average DAV of pixel values of pixels existing in an area corresponding to a striped image in a document image read by a scanning unit; a judgment unit which judges whether the average DAV is a value between judgment reference values DL and DH where (DL<DAV<DH); and a correction unit which executes replacement processing to replace a pixel value of each pixel in an area corresponding to the striped image with to a pixel value calculated based on a pixel value of a peripheral pixel if DL<DAV<DH is not satisfied and maintains the pixel value of each pixel in the area corresponding to the striped image without performing the replacement processing if DL<DAV<DH is satisfied.

Abstract: Provided are a method and apparatus for decoding a mixed code that is a combination of first and second code images. In the method, a mixed code image is obtained by receiving the original image having the mixed code image and removing noise from the original image. Next, the colors, shades, and brightnesses of pixels of the mixed code image are categorized into groups based on a predetermined threshold, the mixed code image is divided into first and second code images, and first and second information are extracted by decoding the first and second code images, respectively. The first and second code images can be effectively decoded by decoding interpretation information, construction information, error control information, and code direction information stored in the first and/or second code images.