Abstract: A representative pixel value calculation unit (120) divides an image represented by raw data (D0) into a plurality of blocks and calculates representative pixel values (S) for each block. A detection unit (130) detects an object block which is a block including a blown-out highlight or a blocked-up shadow, from among the plurality of blocks. A B-detection unit (134) of the detection unit (130) performs a first detection processing for obtaining one of a difference between a color represented by the representative pixel values and gray, and a value that can approximately represent the difference, as a characteristic value, and for detecting, as the object block, a block in which the characteristic value is equal to or smaller than a first threshold. Consequently, blown-out highlights or blocked-up shadows included in an image can be detected at higher speed, and the omission of detection can be prevented.

Abstract: An automatic trapping method and system is used for packaging printing. The method includes translating trapping objects into simple color blocks, scanning all of the blocks and attaining trapping boundaries, determining whether the color blocks on both sides of the trapping boundaries meet the trapping rule depending on the ink dots percentage and luminance, connecting trapping boundaries by analyzing regions, creating trapping zone and filling ink into the zone and reducing color.

Abstract: Some embodiments provide a method for editing an image that includes several pixels having pixel values in a color space. The method identifies (i) a shape in a plane of two dimensions of the color space and (ii) a range in a third dimension of the color space over which the first shape is propagated to form a first volume in the color space. Pixels whose pixel values are in the first volume of the color space are fully selected. The method displays a deformable curve along the third dimension that represents the manner in which the shape is propagated over the range of the color space.

Abstract: The present disclosure relates to a method and system for processing isolated holes in an image to be printed or displayed. The method includes detecting whether pixels corresponding to an isolated hole in the image are in an off state, determining a sum of pixels that are in an on state in a first pixel ring surrounding the pixels corresponding to the isolated hole when the one or more pixels in the isolated hole are detected to be in the off state, comparing the sum of pixels in the pixel ring that are in the on state with a threshold sum, turning off a number of pixels in at least another pixel ring either comprising of or surrounding the pixels when the first sum of pixels in the on state is greater than the threshold sum, and outputting the isolated hole including the turned off first number of pixels.

Abstract: An image processing apparatus includes a first calculating section that calculates a non-contour degree for pixel of a processing target image data, a second calculating section that calculates a thin line degree for pixel of the processing target image data, a region extracting section that extracts a thin line or non-contour region based on the non-contour degree and the thin line degree and a color value extracting section. The color value extracting section extracts a color value within a range of a predetermined number of colors based on a color used in the thin line or non-contour region extracted by the region extracting section in the processing target image data.

Abstract: An image forming apparatus includes an acquiring unit that acquires image data expressing an image region included in an image with a first value and a background region included in the image with a second value; a segmenting unit that segments the image region into multiple segments arranged in a fast scanning direction; a converting unit that converts a value of at least one of the segments into the second value; an output unit that generates an image signal on the basis of the image data and outputs the image signal; an exposure unit that exposes a charged image bearing member to light according to the output image signal by scanning the light thereto in the fast scanning direction so as to form a latent image; and a developing unit that forms the image by developing the latent image using an invisible toner that absorbs infrared light or ultraviolet light.

Abstract: Systems for segmenting human hairs and faces in color images are disclosed, with methods and processes for making and using the same. The image may be cropped around the face area and roughly centered. Optionally, the illumination environment of the input image may be determined. If the image is taken under dark environment or the contrast between the face and hair regions and background is low, an extra image enhancement may be applied. Sub-processes for identifying the pose angle and chin contours may be performed. A preliminary mask for the face by using multiple cues, such as skin color, pose angle, face shape and contour information can be represented. An initial hair mask by using the abovementioned multiple cues plus texture and hair shape information may be created. The preliminary face and hair masks are globally refined using multiple techniques.

Abstract: An image forming apparatus, configured to extract additional information added to an original document and perform a processing according to a result of the extraction, inputs image data obtained by causing a scanner to read an image of the original document, converts color component of the input image data into a color component different from the color component of the additional information, and causes a printer to print image data having the converted color component as a document to which a user can add additional information.

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: Embodiments of the present invention provide an image processing method and device. In the embodiments of the present invention, conversion processing is performed on an input image, which effectively eliminates an impact on image quality from such weather conditions as fog, dust-haze, sand storm and rain where atmospheric transparency is low, and can solve a problem in the prior art that image quality of a captured image or video is poor due to a scattering function of suspended particles in the atmosphere under such weather conditions as fog, dust-haze, sand storm and rain where atmospheric transparency is low, thereby improving contrast, saturation, and sharpness of an image or a video (namely, a multi-frame image). The technical solutions according to the present invention are easy to be implemented and have a low cost.

Abstract: Some embodiments provide a method that provides an image display area that displays an image having a set of pixels that have pixel values in a color space. The method provides a first GUI item that activates a first sampling tool for selecting a first section of the image. The first section includes a first set of pixels for defining a first portion of the color space enclosing the pixel values of the first set. An image pixel whose pixel values are in the first portion is fully selected. The method provides a second GUI item that activates a second sampling tool for selecting a second section of the image displayed in the image display area. The second section includes a second set of pixels for defining a second portion of the color space enclosing the first portion and excluding the pixel values of the first set of pixels.

Abstract: Systems and methods for processing YCC image data provided. In one example, an electronic device includes memory to store image data in RGB or YCC format and a YCC image processing pipeline to process the image data. The YCC image processing pipeline may include receiving logic configured to receive the image data in RGB or YCC format and color space conversion logic configured to, when the image data is received in RGB format, convert the image data into YCC format. The YCC image processing logic may also include luma sharpening and chroma suppression logic; brightness, contrast, and color adjustment logic; gamma logic; chroma decimation logic; scaling logic; and chromanoise reduction logic.

Abstract: In a method for editing a digital image by computer, operating controls for controlling properties are offered on a monitor; modifications of the image are formed in one step and modifications are applied to the image in a subsequent step. Operating controls for each type of modification are operative simultaneously. An apparatus for working the method as well as computer program products are disclosed.

Abstract: An image processing device includes: a separating unit configured to separate colors of a plurality of pixels included in an input color image into a plurality of color groups on the basis of similarities between the colors of the pixels; and a conversion unit configured to generate a monochrome image by performing correction on each of the pixels of the color image on the basis of a grayscale representation assigned to each of plurality of the color groups.

Abstract: Systems and methods are provided for demoting color data associated with at least one entity, wherein the entity comprises at least one sub-entity. The at least one sub-entity may be marked as demotable, if the color data associated with the at least one sub-entity is demotable. The at least one entity may be marked as demotable, if all sub-entities enclosed in the at least one entity are demotable. The color data of at least one marked rasterizable entity may be demoted, wherein the at least one marked rasterizable entity may be selected from a set comprising of marked entities and marked sub-entities.

Abstract: Disclosed is an image forming apparatus including a color converter for converting cyan, magenta and yellow components of a first image signal to equivalent neutral density, calculating a first gray component from cyan, magenta and yellow components of equivalent neutral density, subtracting the first gray component from each of the cyan, magenta and yellow components of equivalent neutral density, subjecting each of the cyan, magenta and yellow components of equivalent neutral density from which the first gray component is subtracted to an inverse conversion of the equivalent neutral density conversion, and outputting a second image signal comprising cyan, magenta and yellow components which are obtained by carrying out the inverse conversion to the cyan, magenta and yellow components of equivalent neutral density from which the first gray component is subtracted, the first black component and the first gray component; an image forming section for forming an image on a paper based on the second image signal

Abstract: Method and system for enhancing color saturation. According to an embodiment the present invention provides a method for enhancing color saturation. The method includes providing a color image characterized by a luminance component and two chrominance components, the color image including a plurality of pixels, the plurality of pixels including a first pixel being characterized at least by a luminance value, a first chrominance value, and a second chrominance value. The method also includes processing the first chrominance value and the second chrominance value. The method further includes determining a saturation level using based on the first chrominance value and the second chrominance value. Moreover, the method includes providing a factor for adjusting the first chrominance value and the second chrominance value, the factor being based on the saturation level. Furthermore, the method includes adjusting the first chrominance value and the second chrominance value using the factor.

Abstract: An image processor includes: an edge determination unit that determines an edge in an image; and a color estimation unit that estimates an original color of the image which is not affected by an another image read together as a non-target image, according to a result of the edge determination performed by the edge determination unit.

Abstract: Methods and systems of assessing color gamut requirements for a print job and a printing device are disclosed. A print job including one or more input color spaces may be received. A computing device may produce a color transformation for each input color space using at least a color gamut error profile. The computing device may further produce result information based on the one or more color transformations. Result information may be provided to a user.

Abstract: An image processing apparatus includes: a printing unit that prints image information containing two or more colors with a plurality of color information corresponding to a plurality of specified colors; and a changing unit that changes, when a total toner amount is larger than a threshold value, at least one of the plurality of color information corresponding to one of the plurality of specified colors so that the total toner amount to be used for printing the image information is smaller than the threshold value.

Abstract: An image processing apparatus includes a two color process section and a color material usage estimation and calculation section. The two color process section generates, based on input image data of RGB inputted by reading an original document, image data of CMY for outputting a two-color image. The color material usage estimation and calculation section calculates, based on the image data of CMY generated by the two color process section, a usage of color materials used when the two-color image is outputted and generates information concerning the usage of color materials from a result of the calculation. The color material usage estimation and calculation section outputs the generated information concerning the usage of color materials to an image display device.

Abstract: An image information processing system, which processes image information of a customer wearing products, includes: a customer information database, storing customer information in association with customer code information; and a product information database, enabling storage of product information, concerning the products that the customer wears, in association with order code information. Acquisition of the image information of the customer in the state of wearing products is enabled by a digital camera, and by means of a trial fitting catalog preparation process, a trial fitting catalog, in which the image information acquired by the digital camera unit are included with the customer code information of the customer, who wore the products, and the order code information on the products, is prepared and output by a printer.

Abstract: Embodiments are described for a method to generate an image that includes image structure detail captured from a first image and color from a second image. The first image of a defined subject can be obtained from a computer memory. The first image may be a downsampled fine image with image detail. The second image captured of the defined subject in the first image can be obtained from a computer memory. The second image may be a coarse image. A target pixel in the second image can be selected. A target color distribution for a pixel window of the target pixel can then be computed. A source color distribution for a pixel window of a corresponding pixel in the first image can be computed using a computer processor. Further, a statistic of the target pixel can be determined with respect to the target color distribution. The source color in the source color distribution can be computed with the statistic. The target pixel color can then be replaced by the source color.

Abstract: A method and apparatus for generating a grayscale image. The method and apparatus receive a single value. From the single value, the method and apparatus generate a set of grayscale weighting values. The method and apparatus generate the grayscale based on a color image and the set of grayscale weighting values. By limiting the number of values to a single value, the method and apparatus prevents a user from arbitrarily selecting a number of possible weighting values which could result in a grayscale image that is too dim or too bright. This single control method and apparatus quickly and efficiently produces a grayscale image that is neither too bright nor too dim.

Abstract: An image processing apparatus includes a region analysis unit configured to generate a quantized region by integrating regions that are included in an input multivalued image and have similar colors and to determine an attribute of a connected component included in the generated quantized region, and a character portion filling unit configured to determine a color used for filling a connected component that has been determined by the region analysis unit to have a character attribute and to execute processing for filling the connected component that has been determined to have the character attribute. In the image processing apparatus, the character portion filling unit is configured to change a method for determining the color used for filling based on the quantized region existing adjacent to the connected component determined to have the character attribute.

Abstract: There is set forth herein an imaging terminal operative for decoding of bar codes. In one embodiment the terminal can include a color imaging assembly having a color image sensor array. The terminal can be operative for capture of a color frame of image data. Responsively to the capture of the color frame of image data the terminal can convert the color image data to monochrome image data while maintaining the color image data. The terminal can utilize the monochrome image data to search for a color bar code finder pattern. The terminal can be operative so that if the color bar code pattern is found utilizing the monochrome image data the terminal can utilize the color image data for attempting to decode a color bar code.

Abstract: Provided are a color to grayscale image conversion method of converting a color image into a grayscale image while maintaining original features of the color image, and a recording medium storing a program for performing the same. When an original color image is input, a target gradient with the features of the input original color image is acquired, and a global mapping function for converting the original color image into a grayscale image is determined based on the acquired target gradient. Thereafter, the original color image is converted into a grayscale image using the determined global mapping function. Therefore, it is possible to quickly convert a color image into a grayscale image, and to acquire a high-quality grayscale image with features of color difference included in the original color image.

Abstract: An image processing apparatus includes a reduction unit and a compression unit. The reduction unit is configured to execute color-number reduction processing for each block configured by a plurality of pixels included in a processing target image expressed by processing target image data, the color-number reduction processing including reducing the number of colors expressed by the plurality of pixels in the block to generate image data having the reduced number of colors from the processing target image data, a gradation-number of each color value included in the image data having the reduced number of colors being the same as a gradation-number of each color value included in the processing target image data. The compression unit is configured to execute compression processing using the image data having the reduced number of colors to generate compressed image data.

Abstract: Techniques are disclosed relating to additive color systems. In one embodiment, an apparatus is disclosed that includes a device configured to operate on pixel data having color component values falling within an extended range outside of 0.0 to 1.0 corresponding to an extended range color space. In one embodiment, a gamma correction function is disclosed that can be applied to the pixel data, where the gamma correction function is applicable to both negative and positive values. Various embodiments of formats for arranging pixel data are also disclosed.

Abstract: Aspects of the invention provide systems and methods for converting a digital image represented in a lower bit depth representation to a higher bit depth representation. A saturation region is identified, where a color model value of the pixels in the saturation region is above an upper saturation threshold or below a lower saturation threshold. The color model value for each pixel in the saturation region is then adjusted by a corresponding adjustment. The magnitude of the adjustment for each pixel is based on characteristics of the image data.

Abstract: An image processing unit is configured to include a monotone image generator which generates a monotone image from a color image and a color reducer which reduces a color of an image by reducing chroma of the image in accordance with brightness of the image. The color reducer adjusts a tone of the monotone image generated by the monotone image generator by reducing a color of a high brightness portion of the image at a higher level than a low brightness portion of the image.

Abstract: An original design image is processed to create a modified design image for blending with an image of a product to create a combined image representing the result of printing the design image onto the product. To create a modified design image, both the alpha value and color of pixels in the original design image are modified. The modified alpha value and the modified color of a pixel are determined as a function of the amount of gray in the original color of the pixel. The modified pixel color is calculated by subtracting the level of gray in the original pixel color from each of the three original component color values and increasing any remaining color component values as a function of the modified alpha value of the pixel.

Abstract: An imaging apparatus includes an image pickup element to acquire a short-exposure-image data and a long-exposure-image data; a white balance evaluation value acquiring device to acquire white balance evaluation value for each of short-exposure-image data and long-exposure-image data; a white extraction range setting device to set a white extraction range for each of short-exposure-image data and long-exposure-image data; a white extraction device to extract white extraction result on the basis of the white balance evaluation value and the white extraction range for each of short-exposure-image data and long-exposure-image data; a correction factor calculating device to calculate corrected white extraction results from the white extraction result on the basis of the white extraction range and calculate correction factor for each of short-exposure-image data and long-exposure-image data; a white balance correcting device to correct the short-exposure-image data and the long-exposure-image data to form white bal

Abstract: A method and system for managing the application of a color profile to a color device in connection with a calibration event associated with the color device. A color management module is configured to detect a request to inhibit application of color profile received from a calibration module. The color management module facilitates the removal of a current profile applied to the color device. The color management module monitors a connection used to communication with the calibration module to identify a termination event associated with the calibration module and/or calibration event. In response to identifying the termination event, the color management module facilitates the application of a color profile to the color device.

Abstract: An image processing apparatus is provided, the apparatus including: a color extracting section that extracts colors contained in processing image data as a flat color or a characteristic color; a first evaluation value calculating section that calculates a flat color evaluation value with respect to a combination of flat colors based on a color difference, and that calculates a characteristic color evaluation value with respect to a combination of characteristic colors based on a color difference; a second evaluation value calculating section that calculates a combination evaluation value with respect to a combination of a characteristic color and a flat color based on a color difference; and a deleting section that reduces a number of colors to a preset number by deleting a color extracted by the color extracting section in accordance with the characteristic color evaluation value, flat color evaluation value and the combination evaluation value.

Abstract: A method for compressing an elevation map by means of digital image processing, according to which local and global parameters of an elevation map are calculated for sorting the elevation map into a corresponding category and the elevation map is categorized according to the calculated local and global parameters. Optimal parameters for compressing the elevation map are determined according to the calculated local and global parameters and according to the corresponding category and then the elevation map is compressed by applying on it digital image processing by using the determined optimal compression parameters.

Abstract: An image processing system capable of reducing an operation time required to generate a high image quality image, includes an image obtaining section that obtains an input image having been captured; a characteristic region information obtaining section that obtains information indicating a characteristic region in the input image; a model storage section that stores a model representing an object by a character parameter; an image generating section that converts an image of an object included in the characteristic region in the input image into a high image quality image having an image quality higher than an image quality of the input image, by adapting the image of the object included in the characteristic region in the input image to the model; and an output section that outputs an image including the high image quality image and an image other than the characteristic region.

Abstract: Unevenness in density (line noise) resulting from color misregistration among RGB components in a halftone region or a line screen region is suppressed. With respect to a document that is discriminated as a printed photo document or a text/printed photo document that includes black halftones by a document type discrimination section, or to a region segmented into a black halftone region by a segmentation section, a non-uniform image suppressing operation mode is executed. In the non-uniform image suppressing operation mode, a black generation and under color removal section does not carry out a black generation and under color removal process on a pixel in which a minimum value of the image data of the plurality of color components is at least equal to or less than a predetermined threshold.

Abstract: Candidate redeye areas (24) are determined in an input image (20). In this process, a respective set of one or more redeye metric values (28) is associated with each of the candidate redeye areas (24). Candidate face areas (30) are ascertained in the input image (20). In this process, a respective set of one or more face metric values (34) is associated with each of the candidate face areas (30). A respective joint metric vector (78) is assigned to each of the candidate redeye areas (24). The joint metric vector (78) includes metric values that are derived from the respective set of redeye metric values (28) and the set of face metric values (34) associated with a selected one of the candidate face areas (30). Each of one or more of the candidate redeye areas (24) is classified as either a redeye artifact or a non-redeye artifact based on the respective joint metric vector (78) assigned to the candidate redeye area (24).

Abstract: An image capturing element of an image capturing section 2 has a color filter with a Bayer matrix, and interpolation unit 6 implements an interpolation process to an image signal for each pixel received from the image capturing element by using image signals of adjacent pixels to obtain an image signal of R, G and B for the respective pixels. High-frequency component extracting unit 7 extracts a high frequency component from the G signal; false-color reduced color signal generation unit 8 obtains, for the respective pixels, a false-color reduced color signal (R+B?2G) in which an effect of a false color is reduced; and, chroma signal generation unit 9 generates a chroma signal, which is an absolute value of the false-color reduced color signal. Suppression unit 10 suppresses the false color on the basis of the high frequency component extracted by the high-frequency component extracting unit 7 and the chroma signal for the respective pixels generated by the chroma signal generation unit 9.

Abstract: A method for adjusting the color of images is provided. In the method, firstly, an original hue-saturation-value (HSV) color coordinate is obtained from an original image signal. Next, the original HSV color coordinate is converted into an adjusted HSV color coordinate according to color adjusting data. Afterwards, the adjusted HSV color coordinate is converted into a corrected HSV color coordinate. Then, an output image signal is generated according to the corrected HSV color coordinate.

Abstract: A VDP workflow system and method are disclosed. The system includes an image memory to store a photograph image. The system also includes a VDP document tool to access the photograph image from the image memory and to generate a VDP document comprising the photograph image. The system further includes a red-eye removal tool to process the VDP document to discover red-eye artifacts and to remove the red-eye artifacts from the photograph image on the VDP document based on a programmable red-eye sensitivity value.

Abstract: The invention relates to a method of locating a code in an image file, comprising forming an image window from a target comprising a readable code, dividing the image window into sub-windows, analysing for each sub-window whether it constitutes a part of the code by comparing the variation density color of the sub-window with one or more threshold values set for the color, gathering the sub-windows evaluated as constituting a part of the code into a group of sub-windows, and verifying that the gathered group of sub-windows defines a valid code.

Abstract: A method for implementing a user selectable white level includes displaying a default white patch of a default shade of white on a display, displaying a modified white patch of a modified shade of white that is different than the default shade of white on the display, receiving a selection of the modified white patch, associating another default shade of white with the modified shade of white in response to receiving the selection, receiving pixel data for a pixel, the pixel data comprising color information for displaying the default shade of white, and displaying the pixel with the second default shade of white.

Abstract: A computerized device for converting a color image data, indicative of a plurality of color image regions defining a two-dimensional color image, into a grayscale image data indicative of a plurality of grayscale image regions defining a two-dimensional grayscale image, with each of the color image regions corresponding to one of the grayscale image regions. A luminance information and a two-dimensional chromatic information is associated with each of the color image regions. The device includes a processor and a memory store. The memory store is adapted to store a program executable by the processor so as to perform the following steps: determining a principal chromatic component of each of the color image regions; determining a first correlation value; and generating the grayscale image data by reference to the first correlation value.

Abstract: An arrangement for, and a method of, acquiring a monochrome image of a target, employ a solid-state imager for capturing return light from the target over a field of view, and for generating an output image data stream having image components arranged in a serial format at a clock frequency, a preprogrammed microprocessor operatively connected to the imager for serially receiving, sampling and processing the image components at a sampling frequency to generate the monochrome image of the target, and a clock frequency adjustment circuit operatively connected to the imager and the microprocessor for adjusting the clock frequency to enable the microprocessor to receive, sample and process the image components and generate the monochrome image.

Abstract: A method and apparatus for processing an image to create a grayscale image are provided. The method includes converting, in a color image consisting of a plurality of pixels, a pixel value of each pixel in a RGB color space into a pixel value in a new color space through color space conversion, extracting color information using the pixel value in the new color space, calculating a luminance change amount of each pixel using the extracted color information, calculating a luminance value for the grayscale image by combining an original luminance value of each pixel and the luminance change amount, and creating the grayscale image according to the calculated luminance value. In converting color image into grayscale image and representing the grayscale image, the luminance change amount is set according to a property of each color perceived by humans and added to original luminance value, thereby explicitly discriminating among objects.

Abstract: An image processing apparatus includes a red eye candidate detecting section, a red eye-gold eye separating section, a gold eye converting section, and a red eye correcting section. Herein, the red eye candidate detecting section detects a red eye candidate included in images. The red eye-gold eye separating section judges whether a red eye candidate detected by the red eye candidate detecting section is either red eye or a gold eye respectively specified in a predetermined color range. The gold eye converting section converts a color of the red eye candidate, which was judged as red eye by the red eye-gold eye separating section, into a color, which is judged as a red eye by the red eye-gold eye separating section. The red eye correcting section performs a red eye correction to a color of the red eye candidate converted by the gold eye converting section.

Abstract: A system and method for resizing a digitally represented color image are presented. A color image with pixels defined by luminance and at least one chrominance value is received. For each pixel of the color image, a luminance spatial variation and respective chrominance spatial variations in the respective neighborhood of the each pixel are computed. The luminance spatial variation and the respective chrominance spatial variations are combined to produce a respective importance value for each pixel. Selected pixels are identified based upon their respective importance values and are removed by seam carving of the color image. The seam carving identifies seams of pixels based upon the respective importance values of pixels within the seams of pixels to create a resized color image. The resized color image is produced to an image output device.

Abstract: An image processing apparatus includes: a subject region detection unit detecting regions of subjects included in an input image; a cropped region setting unit setting a region including all of the regions of the detected subjects as a cropped region; an expansion region addition unit adding an expansion region to expand an end of the cropped region only by a predetermined width; a cutting unit cutting a cut image formed from a cut region including the cropped region and the expansion region from the input image; a subject adaptation size change unit changing a size of an image formed from the cut region by deleting a region where an influence on the subjects is small in the cut image; and an entire image size changing unit changing the size of the entire image changed in size by the subject adaptation size change unit at a predetermined ratio.