Abstract: A scanning apparatus which scans an image of a document to generate an image data, the scanning apparatus includes: a boundary sensing unit to sense a boundary of the image, and a distortion area, a distortion boundary of which is not sensed; a shadow calculating unit to calculate a shadow value of the image data; and a control unit to calculate the distortion boundary of the distortion area according the shadow values of the distortion area so as to correct distortion of an image caused by variations in focal distances between the image and the lenses within the scanning apparatus.

Abstract: An image forming apparatus capable of accurately compensating an increase or decrease of a toner area coverage resulting from shifting that is performed to correct skew is provided. A color density of image data represented by a correction target pixel is corrected such that the increase or decrease in the toner area coverage on the correction target pixel is compensated excluding a toner area coverage on the correction target pixel covered by a toner image that would be formed based on a color density of image data to be represented by a neighboring pixel of the correction target pixel. This effectively reduces banding noise on an output of the image data and prevents degradation in image quality.

Abstract: An image processing apparatus includes a decision unit which decides a color selection threshold based on received compressed data from external apparatus, and a determination unit which determines according to the color selection threshold if a pixel included in the compressed data is a chromatic color pixel or an achromatic color pixel.

Abstract: A method for enhancing images of an object includes registering a fixed image with cine images of the same object. Next, the fixed image and the cine images are transformed into frequency space representations thereof. A central portion of the frequency space cine images are merged with a peripheral portion of frequency space fixed image using a defined normalized response curve or a predefined normalized response curve (or both) to form a merged image. Finally, the method includes inversely transforming the merged image into enhanced cine images of the object.

Abstract: 17-valued data of a pixel in a multi-valued image is divided into two divisions for a two-pass printing, obtaining the division data. Next, by using an index pattern where arrangements of the numerals of 1 to 16 are dispersed, each dot data of C, M and Y in the division data is arranged. First, six dot data of C are assigned to the respective minor pixels of the numerals of 1 to 6 in accordance with a value of C1=6. Next, four dot data of M are assigned to the respective minor pixels of the numerals of 7 to 10 in accordance with a value of M1=4. Further, one dot data of Y is assigned to the minor pixel of the numerals of 11 in accordance with a value of Y1=1.

Abstract: An image processing apparatus includes: an acquisition unit; an edge detecting unit; a transparency setting unit; an image data generating unit; and an instruction unit. The acquisition unit acquires print data, the print data indicating an object image and a background image, a region of the object image being located at least partly inside a region of the background image. The edge detecting unit detects at least a part of an edge of the object image. The transparency setting unit sets an edge region that is located inside the region of the object image and that extends along the at least a part of the edge detected by the edge detecting unit, the transparency setting unit setting a transparency degree to the edge region of the object image. The image data generating unit generates image data based on the print data and on the transparency degree for the edge region of the object image.

Abstract: An image processing apparatus, including a color conversion part configured to conduct a color conversion of image data. The color conversion part extends an information amount of an output value in the color conversion based on a first minimum information amount possible to depict a gradation in a lattice point interval of an input value in a look up table used for the color conversion.

Abstract: A system and method is provided for characterizing color separation misregistration associated with marking a substrate. The method includes providing an input image having a plurality of patches, each patch having a pattern using a first and second color; marking a substrate with a copy of the input image using a first and second color separation to correspond to the first and second colors, respectively; and measuring a color characteristic of markings of respective copied patches of the copied plurality of patches and generating corresponding colorimetric values. Misregistration of the first color separation markings relative to the second color separation markings is characterized based on the measured calorimetric values.

Abstract: An image feature within image data may be identified and located from the maximum values in a Hough voting table. The Hough voting table may be generated by converting edge pixels identified with an image data into an array. The array may be read in row order with theta on the outside loop and rho on the inside loop. In some embodiments, the storage requirements for the Hough voting table may be reduced.

Abstract: A method is presented for enhancing an image from an initial image, comprising computing a first luminance level frequency distribution corresponding to plurality of pixel constructing said initial image, representing said first luminance level frequency distribution as a resultant of Gaussian model mixtures to assess relative utilization of overall luminance level across said initial image, computing a desired luminance level frequency distribution as a function of the relative utilization, computing a transfer function to adjust the first luminance level frequency distribution to an enhanced luminance level as a function of desired level frequency distribution estimation, and applying said transfer function globally to said initial image to provide an enhanced image is. The first luminance level can be adapted to be linearized in a logarithmic form. In one embodiment, the model comprises one or more Gaussian functions. The initial image can be a background image estimated from a sequence of images.

Abstract: A method and apparatus of enhancing an image, the method comprising applying at least one multi-scale filter bank to at least a portion of an image to detect at least one edge at different scales, and combining the detected edges with said image to yield an enhanced to at least a portion of the image.

Abstract: An imaging apparatus includes an imaging section, a subject extracting section, and an image processing section. The imaging section captures an object image and generates data of an image. The subject extracting section extracts a main subject from the image. The image processing section performs a noise addition process on the data of the image to add noise for an area where the main subject is positioned within the image.

Abstract: A sufficient number of packets necessary for analysis of a fault in a network communication apparatus are obtained. A multi function peripheral (MFP) temporarily stores received packets as a file for every print job, and stores communication failure information as a log (communication failure log). The MFP deletes data in which no error has occurred in an application among the stored files. Then, in a case where an error has occurred during processing of a certain print job, the MFP stores received packets in a storage device, and compares a communication failure in the job packet in which the error has occurred with a communication failure in packets associated with all the received print jobs. As a result of the comparison, the MFP extracts a communication failure in only the job packet in which the error has occurred, and creates a log so that the extracted result can be identified.

Abstract: According to one embodiment, an image processing apparatus includes a decoder, an acquisition module, a sharpening module, and a controller. The decoder decodes an encoded image to obtain a decoded image. The acquisition module acquires quantization information indicating the accuracy of quantization upon generating the encoded image. The sharpening module performs sharpening on the decoded image. The controller controls the effect of the sharpening based on the quantization information such that the effect of the sharpening is reduced as the accuracy decreases.

Abstract: In a first process, initial dot pattern of a predetermined dot rate “a” is created in a first process, and a gradation value corresponding to the dot rate “a” is arranged as a threshold value in the position of the pixel of the threshold value matrix corresponding to the initial dot pattern. Then in a second process, the initial dot pattern or the dot pattern having occurred prior to the second computation is used as the dot pattern of dot rate “b”, and new dots including the dots of the dot pattern of dot rate “b” is generated or any of the dots is removed from the dot pattern of the dot rate “b” by the error diffusion method. Thus, the dot pattern of the next dot rate “b?” with its dot rate having been increased or decreased in the aforementioned procedure is generated.

Abstract: An image processing apparatus to perform an edge intensifying processing of an image includes an obtaining unit, a calculating unit, a setting unit, and a processing unit. The obtaining unit obtains image data composed of pixels aligned in a main scanning direction and a sub-scanning direction perpendicular to the main scanning direction. The calculating unit obtains an edge direction of an image and a variation amount indicating a magnitude of change in a luminance value. The setting unit sets an intensity of the edge intensifying processing. The processing unit performs the edge intensifying processing. In a case where the image data resolution in the sub-scanning direction is higher than in the main scanning direction, the setting unit sets the intensity of the edge intensifying processing to an amount that is higher when the edge direction is the sub-scanning direction than when the edge direction is the main scanning direction.

Abstract: A blocking effect removal system and method is provided. A blocking effect removal system, including: a pixel segment extraction unit to extract a pixel segment which satisfies a homogeneity with respect to each pixel group adjacent to a block boundary of an image; a filtering mode determination unit to determine a filtering mode corresponding to a filtering direction by considering a size of the extracted pixel segment; a direction vector determination unit to determine a direction vector which is applied to pixels adjacent to the block boundary considering the filtering mode; and a pixel segment filtering unit to filter an entire area of the pixel segment, adjacent to the block boundary, according to the filtering direction.

Abstract: The present invention provides an image processing apparatus having an image readout sensor that is provided with a plurality of pixels that optically read out an image, and a driving unit that moves the image readout sensor. The driving unit moves the image readout sensor, whereby the driving unit and the image readout sensor are controlled so that each of the plurality of pixels reads out a chart with a predetermined pattern. A feature amount of the plurality of pixels is calculated from the image data that has been read out by each pixel through the control, and MTF characteristics of the plurality of pixels are analyzed from the calculated feature amount. Then, nonuniformity of MTF characteristics of the plurality of pixels is corrected according to the analysis result.

Abstract: Trapping objects. An object of a first type, for example, a text is detected in a section of a page. An object of a second type, for example, a stroke is then detected in the section. A check is then performed to determine if the object of the second type adjoins the object of the first type. One or more parameters, for example trapping parameters associated with the object of the first type are applied to the object of the first type and to the object of the second type, if it is determined that the object of the second type adjoins the object of the first type.

Abstract: An image processing apparatus includes an inputting unit to receive image data having pixel data, an image processing unit to align and output the pixel data, and a control unit to prevent the pixel data from being transmitted to the image processing unit when the pixel data have null data.

Abstract: An image processing apparatus including: an image source acquiring unit that acquires an image source; a determining unit that determines whether the image source acquired is a moving image source; a setting unit that sets a matrix size used in a noise elimination of a first plane to be larger than a matrix size used in a noise elimination of a second plane if the image source is a moving image source and sets the matrix size used in the noise elimination of the second plane to be larger than the matrix size used in the noise elimination of the first plane if the image source is a still image source; and a noise elimination unit that executes the noise elimination of the luminance and color difference planes on image data from the image source using the size of the matrix of the smoothing range.

Abstract: An image forming device to scan a predetermined document includes a uniform block search unit to classify the object into a plurality of blocks and to search for uniform blocks having uniform inner pixel values, a status information detection unit to detect representative values of the inner pixel values of each of the uniform blocks searched for by the uniform block search unit and to output maximum and minimum values of the representative values, and a control unit to determine that the object is uniform if a difference between the maximum and the minimum values output from the status information detection unit is less than a predetermined threshold value. Accordingly, if the object is uniform it is possible to compensate for deterioration of screen quality by unifying the pixels of the object.

Abstract: Methods and systems for scaling an input image are provided. A pixel neighborhood that includes a plurality of pixels neighboring a pixel is selected. At least part of the pixel neighborhood is compared directly to a predetermined pattern in order to determine whether the predetermined pattern is present in the pixel neighborhood. A controller applies a predetermined scaling algorithm to at least a portion of the pixel neighborhood in order to obtain a scaled image if the predetermined pattern is present in the pixel neighborhood.

Abstract: An image processing device provided with an acquiring unit and a generating unit. The acquiring unit acquires invisible image data of an invisible image subject to forming on a recording medium with invisible coloring material and acquires source image data of a source image subject to forming on the recording medium with visible coloring material. The generating unit generates corrected-image-data of the source image data corrected according to the absorption wavelength characteristics of the invisible coloring material, such that the color of overlapping regions where both the invisible image and the source image are superimposed when formed on the recording medium approximates to the color of regions corresponding to the overlapping regions in the source image.

Abstract: A system for activating automated image quality diagnostic systems via a direct communication from the image-based control system is disclosed. The system includes a printing engine configured to intake electronic image input and to output tangible image output based on the electronic image input, an image-based measurement system configured to make measurements of image parameters associated with the tangible image output, and an automated compensation system configured to store nominal value parametric measurements for one or more image parameters measured by the image-based measurement system and to compare the nominal value measurements to related one or more parameters measured to determine anomalies in the output tangible image system.

Abstract: A user decides images to be laid out on one image. For each image showing presence of face among the decided images, a region decision means decides a display region including at least one face in the corresponding image, according to the number of faces therein and according to a distance between the faces in the case where the number of the faces is larger than 1. A layout image generation unit extracts the display regions from the respective images, and generates a layout image by laying out the extracted display regions on a background image.

Abstract: A printer for printing packaging associated with a pharmaceutical product. The printer determines visible information to be provided on the packaging and an identity associated with the pharmaceutical product. The printer uses this to generate coded data including a number of coded data portions, each coded data portion being indicative of the identity. The printer then prints the packaging by printing the coded data and the visible information.

Abstract: A method of displaying a high dynamic range image, comprising receiving the high dynamic range image, calculating a first set of tone mapping parameters as a function of the high dynamic range image, sub-sampling the first set of tone mapping parameters at a first resolution to create a first sub-sampled parameter set, creating a first tone-mapped image by processing the high dynamic range image as a function of the first sub-sampled parameter set, and displaying the first tone-mapped image. A method of composting a plurality of versions of an image to create the high dynamic range image is also disclosed such that the compositing may be modified as a function of received user input.

Abstract: An image forming apparatus and a control method thereof are disclosed.

Abstract: Methods and apparatuses of contrast enhancement on an image are disclosed. The method performs local shading of fine contrast variations in an image, with particular advantage in tone mapping applications. The amounts of shading are determined by the preferred degree of increased image contrast 810, including compensation for subsequent tone mapping, and the difference between a profile signal 803 and the image signal 801 conditional on the signal profile level being higher than the original image signal level, wherein avoiding boosting of brightness level to obtain contrast enhancement. The profile signal 803 is calculated by the weighted sum of the image signal and the absolute signal variation which is the absolute value of the variation between the brightness of two neighbor pixels. This amount of shading is reduced to zero when the profile signal 803 is lower than the original image signal 801 for avoiding the overshooting problem at sharp edges in an image.

Abstract: An image processing apparatus makes for making the halftone processing that can suppress a periodic pattern by periodically changing the correction amount while suppressing a dispersion in the area of each dot at a low computation cost.

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: A system using a spatial correction to improve the result of a printer calibration and correction is described. More particularly, in one form, a spatial correction may be used to pre-condition a printer for an improved color calibration. In another form, spatial correction and color calibration are addressed in the same process for color correction.

Abstract: An imaging system and method are presented for use in imaging with zoom. The system comprises a pixel detector array (PDA), an optical focusing arrangement, and a spatial filter configured and operable to selectively switch between at least two transmitting states. Distributions of an optical resolution of the optical focusing arrangement and of a geometrical resolution of the PDA define an aliasing window along an at least one direction.

Abstract: The invention aims to provide an image forming apparatus digitally correcting curve and inclination of a laser beam. To this end, provided is an image forming apparatus that corrects a position shift of a scan line in a sub-scanning direction.

Abstract: Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation.

Abstract: Disclosed is a method for determining optimum noise filter setting to be used by a scanner in a system including a printer and a detector forming a closed loop system. A test image including a plurality of horizontal lines, vertical lines, slanted lines and dots are printed using the printer and scanned back using the scanner. The scanned test image data is compared to the input test image data representing the test image, and based on such comparison, the optimum noise filter setting for the printer/scanner pair is determined and stored for future use. This method is particularly useful for printing barcodes having high data capacity.

Abstract: A method of forming a multidimensional upsampled table, which includes a plurality of upsampled contents and a plurality of upsampled columns and a plurality of upsampled rows, includes reading a multidimensional unsampled table having a plurality of unsampled content values. The multidimensional unsampled table has a plurality of unsampled columns and a plurality of unsampled rows. The multidimensional unsampled table is monotonic in the plurality of unsampled columns and is monotonic in the plurality of unsampled rows. The method further includes performing a Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) interpolation to upsample the multidimensional unsampled table and to create the multidimensional upsampled table, and storing the multidimensional upsampled table. The PCHIP interpolation is independent of an order of interpolation direction.

Abstract: A system determines the noise level of image data by high pass filtering image data. Absolutes values of the high pass filtered image data are determined. Thereafter, multiple mean values for absolute values less than a predetermined number of threshold values are determined. Based upon the determined mean values, a plurality of estimated mean values is calculated, each estimated mean value being calculated from a combination of two determined mean values. The noise of the image is determined from a combination of the minimum estimated mean value and the maximum estimated mean value. This noise can be optionally used by a sigma filter, at Step S740, to sigma filter the image data.

Abstract: Disclosed herein is a method wherein each pixel is tagged with a special VI (Variable Information) flag, which indicates the color of the pixel is variable or fixed. When the document gets created during raster image processing (“ripping”), the output CMYK of the VI and non-VI pixels are constrained to be odd and even numbers, respectively. In the meantime, a special TRC is created, and the VI colors are obtained through this special TRC at the odd indices, while the non-VI colors are obtained through the even indices. To enable the variable colorization printing, the job needs to be ripped once and saved. The saved job then can be reprinted multiple times with different TRCs that have the same values at the even indices, but different values at the odd indices.

Abstract: In a method of producing a tiled print product, the print product is composed of a plurality of print substrates that are printed separately and are disposed adjacent to one another in at least one row. Each substrate is printed by means of a print process that creates a gloss gradient in a characteristic direction of production that is parallel to the row. The characteristic direction of production is inverted for every second substrate in the row.

Abstract: Sub-raster registration errors are compensated for through non-redundant overwriting. Data from adjacent rasters is written to a particular output raster so that the adjacent rasters share an influence at a point actually written to by a rendering device, thereby compensating for a sub-raster component of a registration error associated with writing to the particular point. If two writing passes per raster are used and the writing passes have equal influence (e.g., are written with equal power), then writing data from a first raster during a first pass and writing data from a second raster adjacent to the first raster during a second pass compensates for a sub-raster registration error of half a raster spacing. If two writing passes are associated with different influence (e.g., are written with ? and ? power respectively) and/or if additional writing passes are used, then addition sub-raster positions can be compensated for or emulated.

Abstract: An original reading device corrects line noise when performing original image reading by a sheet-through method, even if line noise appears due to a piece of debris simultaneously influencing all color sensors. Background plates (33) have different densities and a background plate switching motor (37) switches between the background plates in order. Before the original reaches a reading position, an image of each background plate is read to generate correction data. Image data is generated by reading an image of the original when it has reached the reading position. A noise address is detected using the correction data and/or image data. The correction data is used to calculate an influence value indicating a level of influence of a dirtiness source inferred to exist at an area corresponding to the noise address. In the image data, a line noise portion indicated by the noise address is corrected using the influence value.

Abstract: An image processing apparatus for performing image reduction correction on target image data corresponding to pixels, includes a deletion position specifying unit configured to specify, as deletion positions of deletion pixels in the target image data, predetermined positions in image regions including the pixels having gradation values that are more than or equal to a predetermined density; and a pixel deleting unit configured to delete the deletion pixels at the deletion positions specified by the deletion position specifying unit, and to shift the pixels subsequent to the deletion pixels in a reduction direction as the deletion pixels are deleted.

Abstract: A method of determining presence of variations in interline spacing in a first image comprising a first plurality of parallel lines of pixels comprising: providing a second image comprising a second plurality of parallel lines; orienting the images so that the lines in the first and second pluralities are superimposed and angled with respect to each other to generate an interference image comprising a Moiré interference pattern; and using the Moiré interference pattern to determine presence of said variations.

Abstract: An image processing device includes a screen processing unit and a correction processing unit. The screen processing unit executes screen processing for an image to be processed. The correction processing unit performs correction processing of correcting a distortion of an output image from an original image, based on the amount of the distortion, for (i) the image before the screen processing and (ii) the image after the screen processing. The correction amount relating to the correction processing for the image after the screen processing is a small value as compared with the correction amount relating to the correction processing for the image before the screen processing.

Abstract: A color image-scanning device has a fixed scan mode and a flow scan mode. In the fixed scan mode, a document is scanned while maintaining the document at a fixed location on a platen glass. In the flow scan mode, a document is fed from an automatic document feeder and is scanned while moving the document. In each of these modes, images are scanned in a main scanning direction and a sub scanning direction. Color registration errors in the main and sub scanning direction caused by an optical factor are corrected in accordance with correction values stored in a memory. Respective correction values for each of the main and sub scanning directions are acquired by scanning a test chart in each of the fixed-scan mode and the flow-scan mode and stored in the memory. Proper correction values are read from the memory depending on the scanning mode selected, and color registration errors are corrected in accordance with the read correction value.

Abstract: Aspects of the present invention include systems and methods for mitigating the effects of leakage when duplicating an image from a double-sided document. In embodiments, a device is calibrated by computing a leakage function. The leakage function is used to obtain a leakage mitigation function. Given the leakage function and the leakage mitigation function, an estimate of a true version of the document image can be obtained using as inputs only the images of the front-side and back-side of the double-sided document.

Abstract: A novel image processing system includes a pixel position indicator and a pixel inserting unit. The pixel position indicator is configured to indicate insertion positions in the image data. The pixel inserting unit is configured to enlarge a size of the image data by inserting an additional pixel at each of the insertion positions and accordingly shifting the original pixels in a given direction. The additional pixel has a value lower than a given threshold. Each insertion position is at an approximate center of an area formed of pixels having values higher than the given threshold. A novel image forming apparatus incorporates such an image processing system and an electrophotographic system. The electrophotographic system is configured to form an image by irradiating a photoconductive surface with a laser beam according to the processed image data.

Abstract: Methods, apparatuses and systems providing pixel correction values for a captured image, where the correction values are determined based on a piecewise-quadratic correction function in a first direction. The parameters for the piecewise-quadratic correction function in the first direction are calculated based on a plurality of piecewise-quadratic correction functions in a second direction. The correction values may be positional gain adjustment values.