Abstract: In the aforementioned image scanning apparatus of this embodiment, a condensation detection patch includes pluralities of patch areas with different reflectances arranged adjacently. A data acquiring unit acquires measurement values of the condensation detection patch by an image sensor as condensation detection patch data. A condensation determining unit determines whether condensation occurs or not on the basis of the condensation detection patch data corresponding to one with a low reflectance of two patch areas arranged adjacently in the patch areas.

Abstract: An image processing device includes a first and a second image processing module including an image processing unit, and a connection module that is connected to the first and second image processing modules, and moves an image data from one image processing module to the other image processing module. At least one of the image processing modules includes a weighted average processing unit that calculates, based on a weighting coefficient included in an attribute value, a weighted average of a pixel value of the input image data and a image processed pixel value, and an output unit which outputs at least one of the image processed pixel value and the weighted-averaged pixel value.

Abstract: An image reading device includes a white reference member, reading device, and processor. The reading device includes lenses and light-receiving elements. The light-receiving elements output a plurality of pixel values based on a light reflected from the white reference member. Each lens corresponds to at least two light-receiving elements. Each light-receiving element is configured to receive a light reflected from the white reference member and passing through the corresponding lens and to output one pixel value. The processor acquires the pixel values by using the reading device, sets a target pixel, and determines that the target pixel is an abnormal pixel when an absolute value of difference between a pixel value of the target pixel and a pixel value of a first pixel is greater than a prescribed threshold. The first pixel is separated from the target pixel by an integer multiple of the predetermined lens-to-lens distance.

Abstract: Provided is an image processing apparatus including a periodicity determining unit that determines whether a determination area including a target defective pixel is a periodicity area, a first pixel value generating unit that generates a pixel value by a first supplementing method, a second pixel value generating unit that generates a pixel value by a pixel second supplementing method, a control unit that determines which of the first pixel value generating unit and the second pixel value generating unit is to be used based on the determination by the periodicity determining unit, a pixel value supplementing unit that inserts the pixel value generated by the pixel value generating unit determined to be adopted, and a pixel value updating unit that updates pixel values of neighboring pixels of the defective pixel.

Abstract: An image reading device includes a white reference member, reading device, and processor. The reading device includes lenses and light-receiving elements. The light-receiving elements output a plurality of pixel values based on a light reflected from the white reference member. Each lens corresponds to at least two light-receiving elements. Each light-receiving element is configured to receive a light reflected from the white reference member and passing through the corresponding lens and to output one pixel value. The processor acquires the pixel values by using the reading device, sets a target pixel, and determines that the target pixel is an abnormal pixel when an absolute value of difference between a pixel value of the target pixel and a pixel value of a first pixel is greater than a prescribed threshold. The first pixel is separated from the target pixel by an integer multiple of the predetermined lens-to-lens distance.

Abstract: An image forming apparatus has a printing section and a document reading section. The printing section prints on paper while transporting it. The document reading section includes a document transport portion which automatically transports, sheet by sheet, a document placed thereon. The document reading section generates image data by reading the document. The document reading section is operable in an ordinary reading mode in which it reads the document at a previously determined ordinary speed and in a quiet reading mode in which it reads the document at a quiet speed lower than the ordinary speed. The document reading section reads the document in the quiet reading mode when the printing section is not printing and in the ordinary reading mode when the printing section is printing.

Abstract: An image reading device is provided with a waveform memory that stores correction waveform data generated based on a digital image signal output from an image signal processing circuit when a light source of the image reading device is turned off, and an image signal correcting circuit that corrects an image signal of an original image using the correction waveform data stored in the waveform memory.

Abstract: In a case where a line noise suppression mode in which a line noise image is suppressed is enabled by a mode setting section 81, (A) a spatial filter process section 108 executes a spatial filter process with respect to a text pixel which have determined to be included in a text region by a segmentation process section 105, in which spatial filter process an edge enhancement degree of an image is smaller than that obtained when the line noise suppression mode is disabled, and (B) an output tone correction section 109 executes, with respect to the text pixel subjected to the spatial filter process, a tone correction process in which a contrast enhancement degree of an image is higher than that obtained when the line noise suppression mode is disabled.

Abstract: An image processing apparatus includes a reflection member configured to reflect scanning light; a scanner unit configured to scan a document to generate image data and scan the reflection member with the scanning light to generate detection-reference image data; and a detecting unit configured to detect image noise in the generated detection-reference image data in a detection range of a desired number of contiguous pixels in a sub-scanning direction so that the image noise extending in the sub-scanning direction of the generated detection-reference image is detected.

Abstract: To reduce artifacts caused by quantization errors in image compression systems, an offset is added to quantized samples at low frequency sections of a macroblock. A decoder uses the offset after decoding to bring the decoded sample closer to the original pre-encoded and pre-quantized sample, thereby compensating for quantization errors.

Abstract: An image processing apparatus including, an input unit for inputting image data including a document region, a storage for storing the brightness of each pixel on a first main scan line outside the document region, a corrector for correcting the brightness of each pixel on the first main scan line in accordance with the brightness of pixels in a first part and the brightness of pixels in a second part on a second main scan line following the first main scan line, and an edge point detector for detecting an edge point of the document region situated on the second main scan line in accordance with the difference between the brightness of each pixel on the first main scan line corrected and the brightness of each pixel on the second main scan line respectively corresponding to each pixel on the first main scan line.

Abstract: A scanned image processing system, a method of processing scanned images and a document conversion system incorporating the scanned image processing system or the method. In one embodiment, the scanned image processing system includes: (1) an artifact characterizer configured to provide a characterization of at least one artifact on at least one of obverse and reverse scanned images of a page and (2) an image modifier associated with the artifact characterizer and configured to modify at least one of the obverse and reverse scanned images based on the characterization and at least one operating parameter.

Abstract: An image comprising varying illumination is selected. Patches of pixels from among the plurality of pixels with the image are identified. Similarities between pairs of patches of pixels based on pixel intensities associated with the pairs of patches of pixels are calculated. Illumination values for the plurality of pixels within the image based on the calculated similarities between the pairs of patches of pixels is calculated. The illumination variation from the image is removed based on the calculated illumination values for the plurality of pixels within the image.

Abstract: An image correcting method for an image processing apparatus that reads a bound document and corrects a shadow in a bound portion in obtained document image data includes extracting shadow image data from the document image data, generating a grid with which a ratio of changes in luminance between the grid lines in directions perpendicular to each other is smaller than in a square grid and which has grid points within a capacity of a memory for correction values, calculating first correction values that corrects luminance of pixels in the shadow image data corresponding to grid points, storing the first correction values in the memory, calculating second correction values for luminance of the pixels in the shadow image data based on first correction values of grid points close to each pixel, and correcting luminance of the document image data using the first and second correction values.

Abstract: A method for capturing high-quality document images, comprising steps which first attempt to correct deficiencies in a captured image, then subsequently score the corrected image for quality, and finally, use the score to determine whether the image quality is acceptable. Unacceptable images are flagged for recapture. Corrected deficiencies comprise exposure, geometric distortions and extraneous background. Scored attributes comprise focus, contrast, and legibility.

Abstract: A video processor includes a spatio-temporal noise reduction controller to determine current and previous image edge slopes and adaptively control a spatio-temporal noise reduction processor to blend current and previous images dependent on the current and previous image edge slope values.

Abstract: An image processing apparatus includes a local maximum point identifying unit, a distribution deriving unit, and a binding position identifying unit. The local maximum point identifying unit is configured to identify positions of local maximum points of densities along a first scanning direction in an input image of a book. The distribution deriving unit is configured to derive a distribution in the first scanning direction of the number of the local maximum point obtained along a second scanning direction perpendicular to the first scanning direction. The binding position identifying unit is configured to identify a binding position in the input image of the book on the basis of a position of a peak in the distribution.

Abstract: An image processing apparatus includes a distance calculating unit that calculates a distance between first and second distributions, wherein the first distribution is a distribution of pixel values of pixels surrounding a focus pixel included in an image, the second distribution is a distribution of pixel values of pixels surrounding a pixel included in a window that includes the focus pixel at the center, and the second distribution is obtained for each pixel included in the window; a coefficient calculating unit that calculates, using the distance between the first and second distributions, a filter coefficient for each pixel included in the window; and a filter processing unit that calculates a correction value for the focus pixel by performing a filter process on each pixel included in the window using the filter coefficient.

Abstract: A pressing unit configured to press a supporting surface for supporting a sheet, and a carriage configured to hold a sensor unit and to move on the pressing unit are integrated into one unit. There is provided a movement mechanism configured to move the unit between a first position in which the pressing unit presses the supporting surface during reading and a second position in which the pressing is released during movement of the sheet on the supporting surface.

Abstract: A method includes generating a first principle bilateral filtered image component from a source image. The first principle bilateral filtered image component corresponds to a second pixel value of a set, the second pixel value greater than or equal to a first pixel value. The method includes selectively updating a result pixel of a result image based on the first principle bilateral filtered image component and deallocating the first principle bilateral filtered image component. After deallocating the first principle bilateral filtered image component, a second principle bilateral filtered image component is generated from the source image. The second principle bilateral filtered image component corresponds to a third pixel value. The third pixel value is greater than the second pixel value. The third pixel value is less than or equal to a fourth pixel value. The result pixel is selectively updated based on the second principle bilateral filtered image component.

Abstract: In one form, the method comprises obtaining scanned values of the image, scaling the scanned values to obtain scaled values, applying a non-linear correction function to the scaled values to obtain a first approximation of corrected reflectance values, filtering the corrected reflectance values by applying a piecewise Gaussian filter, applying the non-linear correction function to obtain a successive approximation of the corrected reflectance values, determining whether the successive approximation of the corrected reflectance values are sufficiently converged, selectively repeating the filtering and applying if the corrected reflectance values are insufficiently converged and selecting the corrected reflectance values for subsequent processing if the corrected reflectance values are sufficiently converged.

Abstract: An image processing apparatus according to the present invention, comprises: a motion detection unit that detects a motion vector from an input image; a determination unit that determines whether an image is moving in each pixel in use of the detected motion vector, and determines whether a motion pixel, about which determination has been made that the image is moving therein, exists in a predetermined range from a still pixel about which determination has been made that the image is not moving therein; and a correction unit that performs correction processing to decrease at least one of high frequency components, contrast, and luminance for the still pixel about which determination has been made that a motion pixel exists in the predetermined range.

Abstract: An image file representing at least a portion of a printed document is processed to highlight the differences between foreground material (e.g., text or other characters) from background. The method includes selecting a neighborhood of pixels, determining a weighted average of an attribute values (e.g., luminance) for each pixel, and modifying each pixel's value based on the weighted average. Graylevel scaling, error diffusion, and a bit level conversion are also performed each pixel ends up with either a first attribute value level (e.g., luminance of 0) or a second attribute value level (e.g., luminance of 255).

Abstract: A method for producing high-quality photographic images in low-light conditions and in the absence of large-aperture optics. The method includes, upon photographing, first obtaining a plurality of frames of the image with exposures which either partially overlap in time or with an insignificant pause between them. The best result can be obtained in the case when the pause between the exposures represents less than 1/20 of the overall exposure time. The method further includes separating out the initial images from a group of exposures and filtering the images having the smallest exposure interval using the images having the largest exposure interval. The final image is obtained by combining initial images having different exposure intervals from the same group.

Abstract: A non-transitory computer readable storage medium having stored thereon a computer program comprising instructions, which when executed by a computer, cause the computer to acquire an image comprising image data reconstructed from an imaging device. The instructions further cause the computer to apply a bloom reduction algorithm to the image configured to iteratively reduce a blooming of high-density objects in the image.

Abstract: The image reading device includes: a reading unit that includes a light source emitting light to irradiate an image on a recording medium transported in a first direction and a light receiving portion that receives light reflected by the recording medium; a transport path forming unit that forms a part of a transport path for the recording medium; a light transmitting portion that is provided in the transport path forming unit and transmits the light; and plural projection members that are provided to the light transmitting portion so as to project from the light transmitting portion toward the transport path, and that are arranged in a second direction crossing the first direction while each extending in the first direction.

Abstract: Methods and systems for creating an image filter is described. In one embodiment, a method includes receiving a first plurality of images captured by an at least one camera with a same setting as a first camera. The method further includes creating an averaged image from the plurality of captured images, wherein the averaged image comprises a measurement value of intensity for each pixel in the averaged image. The method also includes determining an image imperfection in the averaged image. The method further includes creating the image filter to reduce the image imperfection.

Abstract: An image forming apparatus includes an image interpolation unit to compute a correct pixel value of a target pixel subject to interpolation of a halftone image. The image interpolation unit includes a base pattern setting unit to set a base pattern including the target pixel, a reference pattern setting unit to set reference pattern in a region peripheral to the target pixel, an analogous pattern acquisition unit to acquire at least one analogous pattern analogous to the base pattern from the reference pattern, a high-resolution pattern creating unit to create a high-resolution pattern having a predetermined resolution or higher by synthesizing the acquired analogous pattern, a pixel value estimating unit to compute an estimated pixel value of the target pixel based on the created high-resolution pattern, and a pixel value determination unit to determine the correct pixel value of the target pixel based on the computed estimated pixel value.

Abstract: A signal processing device first decomposes an input signal into a plurality of frequency components in different frequency ranges, then causes a higher harmonic wave generating section to generate a higher harmonic for each of a part or all of frequency components obtained by removing a frequency component in the lowest frequency range from frequency components obtained by the decomposition, and finally composes (i) the higher harmonic thus generated and (ii) a frequency component for which no higher harmonic has been generated. The higher harmonic wave generating section adds the frequency component and a nonlinear process signal (i) in which positive and negative signs of a frequency component for which the higher harmonic is to be generated are retained and (ii) which broadly monotonically increases nonlinearly with respect to the frequency component when the frequency component is located at least in the vicinity of zero.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, augmenting a preselected area of the image in a manner to decrease a number of token regions representing the preselected area, and identifying token regions in the augmented image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating intrinsic images corresponding to the image, and performing a relationship maintenance process to correct artifacts in the intrinsic images.

Abstract: A method and system for detecting and estimating noise in a video signal. For example, detail edges may be identified in a plurality of pixels, wherein each detail edge has an edge magnitude value. The detail edges in the plurality of pixels may be identified by: determining one or more directionality values for the plurality of pixels by passing the input video signal through at least one directional filter, and identifying the detail edges by assigning edge magnitude values based on whether the one or more directionality values exceed predetermined threshold levels. An edge map of the detail edges may be created, where the edge map is configured to indicate areas of the plurality of pixels to be considered or ignored in estimating the noise in the input video signal. The noise in the input video signal may then be estimated based on the indicated areas of the edge map.

Abstract: A method for removing color noise on a slowly varying component contained in color difference component image data of image data which is imported from an image sensor and converted to brightness and the color difference component image data, includes the steps of: sampling pixels of said color difference component image data by thinning out according to a first defined sampling format when not performing a color noise removal process on the slowly varying component; determining if the color noise removal process is necessary to be performed or not; producing the color difference component image data, corresponding to a compressed image data size smaller than an image data size without said color noise removal process, by thinning out according to a second defined sampling format when performing said color noise removal process; and recording the color difference and brightness component image data.

Abstract: Image data processing is facilitated. According to an example embodiment, image data is processed using photometric similarity and, where appropriate, a classification of sample pixels for the image data. In some applications, a trained bilateral filter function is used with a filter coefficient selected for a particular classification of image data to filter artifacts in the image data.

Abstract: A computer implemented method is disclosed. The method includes obtaining a first and second images for comparison, globally registering the first and second images, calculating for pairs of a first patch of the first image and second patch of the second image a similarity measure which is a product of luminance and contrast components and a normalized structure component, each component taking a value between 0 and 1 and determining similarity of the images based on the calculated similarity measure. Relating computer program product and data processing system are also disclosed.

Abstract: A method is explained for processing an array of pixels in a point cloud. Local error bars are calculated for each pixel distance value. A difference is calculated between distance values of the pixel being processed and neighboring pixels with distance values within the error bars. If the difference is outside the error bars, the distance value of the pixel being processed is changed by a small fraction while remaining inside the error bars; if the difference is within the error bars, the pixel value is replaced by a weighted average. The neighboring pixels with distance values within the error bars of the pixel are counted and if a predetermined threshold is met, the counted values are averaged and replace the pixel value, but if not met, the pixel value is unchanged. If loop exit criteria have been met, the loop is terminated and if not, looping begins again.

Abstract: Methods of image enhancement are disclosed. In one aspect, the method of image enhancement is for use with an image capture device, such as a security document reader, for the attenuation, separation or reduction of reflections from objects, such as security documents.

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: Consistent with disclosed embodiments, systems and methods for optimizing printing of a print job comprising graphics by a printer are presented. In some embodiments, the method calculating optimal granularity for the print job, based on specified resolution and page size; generating at least one trigonometric table with the calculated granularity; determining if a job command in the print job comprises a trigonometric function; and, if so, obtaining at least one trigonometric value from the at least one trigonometric table based on information in the job command. A similar process may be used to optimize printing by reducing the number of distance calculations performed by using sub tables.

Abstract: A system and method for processing mail and other documents. A method includes scanning a document to produce a document image and analyzing the document image. The method includes determining that there is a condition of the data processing system that requires maintenance based on the analysis. The method includes notifying at least one user of the condition that requires maintenance based on the determination.

Abstract: A method for capturing high-quality document images, comprising steps which first attempt to correct deficiencies in a captured image, then subsequently score the corrected image for quality, and finally, use the score to determine whether the image duality is acceptable. Unacceptable images are flagged for recapture. Corrected deficiencies comprise exposure, geometric distortions and extraneous background. Scored attributes comprise focus, contrast, and legibility.

Abstract: Provided is an image processing apparatus including a periodicity determining unit that determines whether a determination area including a target defective pixel is a periodicity area, a first pixel value generating unit that generates a pixel value by a first supplementing method, a second pixel value generating unit that generates a pixel value by a pixel second supplementing method, a control unit that determines which of the first pixel value generating unit and the second pixel value generating unit is to be used based on the determination by the periodicity determining unit, a pixel value supplementing unit that inserts the pixel value generated by the pixel value generating unit determined to be adopted, and a pixel value updating unit that updates pixel values of neighboring pixels of the defective pixel.

Abstract: When processing image data by referring to at least one of reference image data and correction data, an image is processed in a unit of band area by dividing image data of a target image in a plurality of band areas. In this case, the minimum transfer unit of the image data is set. The minimum transfer unit of at least one of the reference image data and the correction data is obtained to process the image data in the minimum transfer unit. The transfer rate of the image data is determined so that the image data to be buffered fits in a capacity of a buffer available in image processing. The height of the band area to be created by division is determined based on the ratio of the transfer rate of the image data to the minimum transfer unit of the image data.

Abstract: In an image processing apparatus according to one embodiment, an edge correcting unit replaces a signal level of a target pixel with a maximum value of signal levels of a plurality of peripheral pixels when a sum of the signal level of the target pixel and the edge information is more than the maximum value, and the edge correcting unit replaces the signal level of the target pixel with a minimum value of the signal levels of the plurality of peripheral pixels when a sum of the signal level of the target pixel and the edge information is less than the minimum value.

Abstract: Some embodiments of the invention provide a non-linear image-enhancement method to enhance an image that includes a number of picture elements. The non-linear enhancement method adjusts the brightness value of each pixel in the image and adjusts at least one chromatic value of each pixel in the image based on the adjustment to the brightness value of that pixel.

Abstract: An image processing apparatus includes a scanning unit configured to scan at least one of two surfaces of a printed material on both of which information is printed and to obtain a density image representing intensity distribution of diffuse reflection light from the scanned surface and a gloss image representing intensity distribution of specular reflection light from the scanned surface, a mask image generating unit configured to generate a mask image for the scanned surface based on the obtained gloss image, and a show-through removing unit configured to perform mask processing on the density image using the generated mask image to generate a show-through-removed image that does not include show-through information for the scanned surface.

Abstract: An image forming apparatus comprising an image forming unit that forms an image based on a processing batch, a measurement unit, which interrupts the processing batch to form a density pattern by controlling the image forming unit, and which obtains density adjustment data by measuring the density pattern, and an adjustment unit that adjusts the density of the image based on the density adjustment data. When the measurement unit performs a density measurement before formation of a first color page of a processing batch, which includes monochrome and color pages, the adjustment unit adjusts the density of each color page using new density adjustment data obtained through the density measurement performed before the formation of the first color page, and the adjustment unit adjusts the density of each monochrome page using old density adjustment data obtained before the density measurement performed before the formation of the first color page.

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

Abstract: An image recording apparatus includes: a recording head which has a plurality of recording elements; a conveyance device which conveys at least one of the recording head and a recording medium to cause relative movement between the recording head and the recording medium; an input device which inputs image data; an image processing device which causes a plurality of subsidiary image processing devices to perform a plurality of subsidiary image processes with respect to the input image data so as to generate output data; an image recording device which causes the recording head to perform recording on the recording medium according to the generated output data; a selection device which selects, of the plurality of subsidiary image processing devices, a subsidiary image processing device that is not to reflect, in the output data, processing result; and a control device which controls the selection device in accordance with the input image data.

Abstract: An image processing apparatus includes a first storage unit configured to store image data in order of the image data scanned in a main scanning direction, in a first storage device, a transmission unit configured to transmit pixel information of a partial region longer in the main scanning direction of the image data, from the first storage device to a second storage device, and an object discrimination unit configured to reference the pixel information stored in the second storage device and discriminate whether the partial region is an object region based on the pixel information. Thus, according to image processing apparatus, an object can be rapidly detected.