Abstract: In an image processing device, the processor performs: (a) setting, as target pixel data, each set of pixel data; (b) selecting, from among the plurality of sets of pixel data, a plurality of first sets of pixel data corresponding to a plurality of first pixels positioned within a prescribed range of the image; (c) determining whether the plurality of first sets of pixel data represents a white background; (d) determining whether a variation in color difference components among the plurality of first sets of pixel data satisfies a prescribed condition; and (e) determining that target pixel data includes mosquito noise when the plurality of first sets of pixel data represents the white background and when the variation in the color difference component among the plurality of first sets of pixel data satisfies the prescribed condition. The prescribed range includes a pixel corresponding to the target pixel data.

Abstract: Possible locations of a person of interest are ranked based on LPR instances captured around physical locations and license plate numbers associated with the person of interest. An LPR instance includes an indication of a vehicle license plate number, a physical location, and a time when the LPR instance was captured by a LPR system. A possible location of the person of interest may be a location of an LPR instance that matches the license plate number or an address location associated with the person of interest. The ranking may be based on the number of LPR visits to each location, the number of license plate number matches at each location, or an attribute of a cluster of LPR instances. In some examples, an electronic message is rapidly communicated to an entity if a target license plate number is found at a highly ranked location.

Abstract: For each of a plurality of homogeneity regions in relative pixel space, a deviation associated therewith with respect to a pixel to be filtered is given by a sum of associated difference values, each difference value given by the absolute value of a difference between a value of a pixel to be filtered and that of a neighboring pixel selected in accordance with the selected homogeneity region. The filtered pixel value is responsive to values of the neighboring pixels for the homogeneity region with minimum deviation. The relative pixel locations of each homogeneity region are symmetric relative to a radially-extending axis extending outwards in a corresponding polar direction therealong from a relatively central pixel location to a boundary of the homogeneity region, including all relative pixels intersected by the radially-extending axis, different homogeneity regions being associated with different polar directions.

Abstract: A sketch image is generated based on a brightness of a pixel block that includes a pixel and at least one pixel surrounding the pixel. An output gray scale of the specific pixel is adjusted based on whether an input gray scale of the specific pixel is higher than the representative value. Accordingly, the display apparatus may generate a clear sketch image.

Abstract: In a method for controlling a headlamp system for a vehicle, the headlamp system having two headlamps, set apart from each other, road users are detected in front of the vehicle in the driving direction, and a first total light pattern is able to be produced, in which the illumination range on a first side of a center axis is greater than on the other, second side of this center axis, and a second total light pattern is able to be produced, in which the total light pattern is controllable such that it has an illumination range in the direction of at least one detected road user that is less than the distance to the detected road user, and which has an illumination range in another direction that is greater than the distance to the detected road user.

Abstract: A system, apparatus, or method is provided for imaging and for capturing visuals to provide image manipulation options for increasing resolution of subject images. A system, apparatus or method for increasing resolution of subject images using a camera to deliver unexposed photographic emulsion or a digital image and to generate images of greater resolution by modifying digital images or modifying digital and emulsion images.

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

Abstract: A method for correcting spatial response for an imaging Fourier transform spectrometer comprises the following steps: a prior step of calculation of the equalization parameters comprising a gain and an offset from data forming calibration scenes; a step of determination of equalization coefficients at a so-called pseudo superpixel level determining the gains and offsets at macropixel level from the data from a raw image that are collected by the imaging spectrometer in image mode, and gains and offsets determined in the prior step; and a step of equalization at pseudo superpixel level, applying the equalization coefficients to a macropixel from an acquisition in the interferogram mode of the imaging spectrometer in order to restore an equalized interferogram.

Abstract: Modification of a digital image includes determining a likelihood of a pixel belonging to a memory color region (110). The memory color region has a preferred color. The modification further includes shifting original color of the pixel toward the preferred color (120). The original color is shifted by an amount that is a function of the likelihood and that is generally less than the difference between the original and preferred colors.

Abstract: A method of generating one or more new spatial and chromatic variation digital images uses an original digitally-acquired image which including a face or portions of a face. A group of pixels that correspond to a face within the original digitally-acquired image is identified. A portion of the original image is selected to include the group of pixels. Values of pixels of one or more new images based on the selected portion are automatically generated, or an option to generate them is provided, in a manner which always includes the face within the one or more new images. Such method may be implemented to automatically establish the correct orientation and color balance of an image. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images.

Abstract: Some embodiments provide a program that provides a graphical user interface (GUI). The GUI includes a display area for displaying an image that includes several pixels. The GUI includes a selectable masking tool for displaying in the display area an adjustable closed curve to identify a region in the image to apply a color correction operation. The selectable masking tool includes a selectable control for modifying the adjustable closed curve through a range of elliptical shapes that ranges from a pure ellipse to an approximate rectangle. The GUI includes a selectable GUI item for applying the color correction operation based on the selectable masking tool.

Abstract: Some embodiments of the invention provide a mobile device that captures and produces images with high dynamic ranges. To capture and produce a high dynamic range image, the mobile device of some embodiments includes novel image capture and processing modules. In some embodiments, the mobile device produces a high dynamic range (HDR) image by (1) having its image capture module rapidly capture a succession of images at different image exposure durations, and (2) having its image processing module composite these images to produce the HDR image.

Abstract: A system for improving content visibility on a display under low-contrast viewing conditions using an image process technique.

Abstract: An image processing apparatus to be employed at an imaging device. An image acquisition section acquires data of an image. An input operation receiving section receives an operation for selection of an image region of the image data acquired by the image acquisition section. An image quality processing choosing section chooses image quality processing to be applied to the image data acquired by the image acquisition section in accordance with the image region received by the input operation receiving section. An image quality processing information presentation section presents information relating to the image quality processing chosen by the image quality processing decision section.

Abstract: Methods and apparatus according to various aspects take as input image data in a lower-dynamic-range (LDR) format and produce as output enhanced image data having a dynamic range greater than that of the input image data (i.e. higher-dynamic range (HDR) image data). In some embodiments, the methods are applied to video data and are performed in real-time (i.e. processing of video frames to enhance the dynamic range of the video frames is completed at least on average at the frame rate of the video signal).

Abstract: An image processing server performs haze-removal from images. Global atmospheric light is estimated and an initial transmission value is estimated. In one embodiment, a solver is applied to an objective function to recover a scene radiance value based on the estimated atmospheric light and estimated transmission value. The scene radiance value is used to construct an image without haze. In a simplified method that avoids using a solver, bilateral filtering is performed on the transmission image in order to construct an image without haze.

Abstract: The present invention provides a method and apparatus to enhance the image contrast of a digital image device, while simultaneously compensating for image intensity inhomogeneity, regardless of the source, correcting intensity inhomogeneities, and producing a more uniform image appearance. Also, the image is enhanced through increased contrast, e.g., tissue contrast in a medical image. In the method, the error between the histogram of the spatially-weighted original image and a specified histogram is minimized. The specified histogram may be selected to increase contrast for accentuation, e.g., on localized regions of interest. The weighting is preferably achieved by two-dimensional interpolation of a sparse grid of control points overlaying the image. A sparse grid is used rather than a dense one to compensate for slowly-varying image non-uniformity.

Abstract: The present invention discloses a structure and a method for determining a defect in integrated circuit manufacturing process. Test keys are designed for the structure to be the interlaced arrays of grounded and floating conductive cylinders, and the microscopic image can be predicted to be an interlaced pattern of bright voltage contrast (BVC) and dark voltage contrast (DVC) signals for a charged particle beam imaging system. The system can detect the defects by comparing patterns of the detected VC signals and the predicted VC signals.

Abstract: A method for reducing specular reflection in an image. The method includes capturing a first exposure of a scan surface using a first of a plurality of light sources, capturing a second exposure of a scan surface using a second of a plurality of light sources, determining which pixels captured by the light sources are speckles, and replacing a value of at least one speckle in the image with a different pixel value.

Abstract: Systems and methods for determine a centerline of a tubular structure from volumetric data of vessels where a contrast agent was injected into the blood stream to enhance the imagery for centerline. An active contour model may be applied to determine contours of the vessel defined within image data by normalizing the image data about a starting point. A snake may be initialized a first time, where the snake defines a set of points that represent a spline within the vessel. Image forces that act on the snake to pull the snake toward a contour of the vessel may be calculated and iteratively applied in a minimization process to determine the contour of the vessel. Optionally, a Gaussian smoothing operation may be performed.

Abstract: Provided are a method and apparatus for processing a digital image signal, and a recording medium having recorded thereon the method, in which an image including a subject is generated, a subject region is formed by detecting the subject from the image, the subject region is divided into at least two regions, histograms for the at least two regions are generated, respectively, and it is determined whether a light direction is side lighting by analyzing the histograms for the at least two regions.

Abstract: A fluoroscopy apparatus includes a preprocessing section that multiplies at least one of a fluorescence image and a reference-light image by a coefficient by which distance characteristics of fluorescence intensity and distance characteristics of return-light intensity acquired from a standard sample in advance are made directly proportional to each other to generate a correction fluorescence image and a correction reference-light image; a divided-image generating section that divides the correction fluorescence image by the correction reference-light image to generate a divided image; a threshold-setting section that sets a threshold based on a mean grayscale level of pixels in the divided image; an image-adjusting section that enhances contrast between a region with grayscale levels above the set threshold set by the threshold-setting section and a region with grayscale levels below the threshold in the divided image; and a monitor that displays the divided image with the enhanced contrast.

Abstract: A non-transitory computer-readable storage medium stores a process for causing a computer to execute a method including the steps of acquiring optical transfer function information corresponding to an image pickup condition of a picked-up image (S102), generating a restoration image using correction optical transfer function information that is obtained by correcting the optical transfer function information using a correction value (S106-S108), and setting a settable range of the correction value based on an inverse characteristic of the optical transfer function information (S103, S104).

Abstract: A nuclear imaging system (10) includes a crystal identification system (40) which receives a flood image (30) which includes a plurality of peaks, each peak responsive to radiation detected by a corresponding scintillator crystal. A crystal identification processor (42) partitions the flood image (30) into a plurality of regions (56), each region being masked to correspond to one of an array of nuclear detectors. A model image (62) is generated in which the at least one Gaussian models represents the identified peaks. Misidentified peaks in the model image (62) in which locations of the peaks in the flood image (30) differ from the corresponding scintillator crystal are determined and the locations of the misidentified peaks in the flood image (30) are corrected. A calibration processor (43) corrects geometric distortions in acquired projection data according to the corrected peaks.

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 method for segmenting an object of interest (which may be a liver object) in an input image is disclosed. The method comprises the steps of: (a) segmenting the points in a region of interest in the input image into a first and second group of points using predetermined intensity threshold values; (b) identifying a first set of small connected components formed by points in the first group of points and transferring the points in the first set of small connected components to the second group of points; (c) identifying a second set of small connected components formed by points in the second group of points and transferring the points in the second set of small connected components to the first group of points; and (d) forming the segmented object of interest using the first group of points.

Abstract: A computer readable recording media, having at least one program code recorded thereon, an image adjusting method can be performed when the program code is read and executed. The image adjusting method comprises: catching a current image; computing at least one kind of brightness information of the current image; respectively setting corresponding threshold values to different kinds of the brightness information; and determining if a contrast enhancing operation should be performed to the current image to generate an adjusted image according to a number that the brightness information is over the threshold value.

Abstract: A color measuring device includes: an image capturing unit; a reference chart; a light quantity control unit; a generating unit; a correction unit; and a calculating unit. The image capturing unit outputs image data of an image-capturing range. The reference chart has multiple patches of different densities. The light quantity control unit controls the illumination unit. The generating unit generates first correction data based on image data of the multiple patches illuminated by a first light quantity and generates second correction data based on image data of the multiple patches illuminated by a second light quantity. The correction unit corrects image data of the reference chart and a color measurement target, using the first correction data or the second correction data. The calculating unit calculates color measurement value of the color measurement target based on the corrected image data of the reference chart and the color measurement target.

Abstract: A computer implemented method, system and computer program product for identifying the Main Colors and the matching colors of a visual object, and then viewing on a mobile device select items comprising the matching colors, such as from a merchant's catalogue. A visual object is analyzed for color content, and the results are stored on a system database located on the device or on a remote server. The color analysis of the objects comprise advanced image processing techniques, such as Main Color extraction using color space transformation comprising HSV, RGB and CYMK to map between pixels in the image. The user can subsequently view a display on their mobile identifying the visual object's Main Colors and at least one Harmonic Color; and then select and view all items (i.e. products in a database) comprising one Harmonic Color, and/or all items of a specific type and Harmonic Color.

Abstract: An image processing method is provided. The image processing method includes the following steps. A plurality of raw signal is received by a signal transceiving module of the ultrasound imaging system. It is determined whether each of the raw signals satisfies any condition in a condition group, and the raw signal satisfying any condition in the condition group is mapped to one of a plurality of preset constants to generate a plurality of first data. The raw signals not satisfying any condition in the condition group are processed according to a calculation formula to generate a plurality of second data. A beamforming procedure is simultaneously performed on the first and second data to obtain a beamformed image. The beamformed image is transformed to obtain an image of a region to be detected. Furthermore, an imaging system using the foregoing image processing method is also provided.

Abstract: A technique of approximating exponential transformations such as gamma correction is disclosed that achieves high resolution without requiring relatively large RAMs for lookup tables or specialized DSP processors. The technique includes the acts of scaling the pixel values according to their values, wherein smaller pixel values are scaled with larger scale factors and larger pixel values are scaled with smaller scale factors; quantizing the scaled pixel values; looking up the quantized pixel values in a lookup table to provide lookup values; and scaling the lookup values responsive to their scale factors to provide the gamma-corrected pixel values.

Abstract: An image processing apparatus includes an obtaining section, a detection section, a first identification section and a second identification section. The obtaining section obtains image data of a first picked-up image and a second picked-up image picked up by an image pickup section. The detection section detects a brightness change region where brightness changes at predetermined time intervals in the first picked-up image on the basis of the obtained image data of the first picked-up image. The first identification section performs straight line detection processing on the obtained image data of the second picked-up image to detect a straight line, so as to identify a candidate straight line in a corresponding region corresponding to the brightness change region. The second identification section identifies a quadrilateral region including the candidate straight line as an extraction candidate region in the second picked-up image.

Abstract: A method for pre-print enhancement of a raster image is disclosed. The method includes receiving the raster image, categorizing an element in the raster image as a graphical element or an image element; and if the element is categorized as a graphical element applying graphical enhancement to the graphical element. A computer program product for pre-print enhancement of a raster image is also disclosed.

Abstract: An information processing apparatus performs first filter processing to combine pixels of an image along a predetermined direction. A line noise image is extracted by executing second filter processing for the processed image along a direction different from the predetermined direction. The extracted line noise image is subtracted from the image to acquire a line noise reduced image.

Abstract: Briefly, in accordance with one aspect, a method of binarizing an image is provided. The method includes partitioning the image into a plurality of image segments, each image segment having a plurality of image pixels and partitioning each of the image segments into subsegments, each image subsegment having a plurality of image pixels. The method also includes estimating a grey membership parameter for each image pixel for each of the plurality of image segments and subsegments, combining the grey membership parameter for each of the plurality of image pixels from each of the plurality of image segments and subsegments to estimate a net grey membership parameter for each image pixel and assigning black or white color to each of the plurality of image pixels based on the estimated net grey membership parameter of the respective pixel.

Abstract: Converting lightness of each pixel even for images having continuous lightness includes: setting a local area around a pixel for which lightness is converted, in the original image; setting an upper limit conversion function which continuously monotonically increases with respect to the lightness, and determines an output upper limit of lightness conversion; setting a lower limit conversion function which continuously monotonically increases with respect to the lightness, and determines an output lower limit of lightness conversion; calculating upper and lower limit values (upper and lower limit conversion function of lightness of the pixel to be converted); calculating a ratio for setting a value between the upper limit value and the lower limit value according to lightness of each pixel in the local area; and calculating converted lightness of a pixel for which the lightness is converted based on the upper limit value, the lower limit value and the ratio.

Abstract: A device for uniformly enhancing images includes a control unit, a lined cache controller, a lined storage array, an average grayscale computing unit, a scaling coefficient computing unit and an enhancement computing unit. For a color image, the color image is firstly transformed in to YUV space from RGB space and a grayscale image of Y component thereof is divided into identical-sized image blocks; then each image block is uniformly processed with a grayscale enhancement. A method for uniformly enhancing images includes firstly designating a reference grayscale value gray_value for grayscale images, comparing the reference grayscale value to an average grayscale value mean_value of a current image block to obtain a scaling coefficient, and multiplying all pixels or specific pixels within the image block by the scaling coefficient. The grayscale enhancement of an image sequence uses an identical grayscale value for reference, so as to accomplish a uniform enhancement of different images.

Abstract: Systems and methods for characterizing spatial distortions in location data determined by an imaging system, for example as employed in imaged guided therapy. A three dimensional phantom is custom formed for a desired imaging space of a given imaging system. The phantom includes a large plurality of control points fixed rigidly in space to a high degree of known accuracy. The phantom is fixed to a stereotactic frame defining a known calibrated reference or zero and imaged. An algorithm customized for the phantom determines the spatial locations of the control points. A comparison is made between the known and the determined spatial locations for at least a subset of the control points. The comparison results in indicia for any determined spatial distortions observed. The raw image data can be manipulated to compensate for any spatial distortion. The control points can have fixed locations known to an accuracy of 100.mu. or better.

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 electrophotographic image forming apparatus including a light scanning device to scan first and second light beams, a synchronization signal detector to receive a portion of the first light beam scanned by the light scanning device and to generate a first horizontal synchronization signal, and a video signal processor including a second horizontal synchronization signal generating unit to count a synchronization signal offset and generate a second horizontal synchronization signal regarding the second light beam when the first horizontal synchronization signal is transmitted from the synchronization signal detector, and a video controller to transfer video data to the light scanning device based on the first and second horizontal synchronization signals.

Abstract: A method for toning mapping high dynamic range (HDR) video for display in low dynamic range display comprises accessing the HDR video; producing a luminance information for the individual frames; partitioning different consecutive groups of frames into segments responsive to the luminance information; classifying the segments into static luminance segments and transient luminance segments; producing a tone mapping parameter set for the static luminance segments; producing a tone mapping parameter set for at least one of the transient luminance segments responsive to the tone mapping parameter set of an adjacent static luminance segment; and tone mapping the static luminance segments and transient luminance segments according to the respective tone mapping parameter sets.

Abstract: A environment recognition device obtains luminances of a target portion existing in an area specifies a road surface luminance and a reference portion luminance; when the road surface luminance changes by a predetermined value or more, the reference portion luminance does not change by another predetermined value or more, and the changed road surface luminance is not a predetermined color, maintains a white balance correction value prior to the change until the road surface luminance returns to the predetermined color, and, in other cases, derives a white balance correction value to recognize the road surface luminance as the predetermined color; derives a corrected luminance by performing a white balance correction using the white balance correction value on the obtained luminance; and provisionally determines a object corresponding to the target portion from a corrected luminance of the target portion based on an association of a luminance range and the specific object.

Abstract: A method of computerized searching for visual objects on an electronic document is disclosed. After receiving a selection of a template visual object, a template raster image is generated therefrom. The template visual object is comprised of one or more template object components. A document raster image is generated from the document, which includes document object symbols comprised of one or more document object components. A broad match candidate subset of document object symbols is generated based upon comparisons to the template object symbol. Then, a narrowed match candidate set is generated from those document object symbols of the broad match candidate subset based upon a comparison of the template object component to the document object components.

Abstract: A camera and an image capturing method with anti-flicker capability. The camera has a camera sensor and an image signal processor. The camera sensor captures first and second image data separated by a time delay which depends on a flicker period of background illumination. The image signal processor differentiates the first and the second image data along rows to obtain first and second differentiated image data, respectively, normalizes the first and second image data to obtain for each column an oscillation amplitude, normalizes the first and second differentiated image data to obtain for each column an oscillation amplitude, and obtains flicker-eliminated image data based on the first and second image data, the first and second differentiated image data, and the oscillation amplitudes obtained from normalizing the first and second image data and the oscillation amplitudes obtained from normalizing the first and second differentiated image data.

Abstract: An image capture sharpening subsystem for a digital camera includes a capture sharpening processor and a memory that stores values for a capture sharpening amount. The values for the capture sharpening amount are a function of position on an image sensor of the digital camera. The capture sharpening processor receives a first value for a pixel in an image captured by the image sensor and a position value for the pixel on the image sensor. The capture sharpening processor determines a pixel sharpening amount from the values for the capture sharpening amount stored in the first memory according to the position value. The capture sharpening processor applies a capture sharpening process to the pixel to provide a second value for the pixel according to the pixel sharpening amount and stores the second value in a second memory that provides a sharpened version of the image captured by the image sensor.

Abstract: A method for improving the dynamic range of a captured digital image, the method includes the steps of acquiring at a first and second image each at different effective exposures; computing from the first and second images a linear exposure shift; applying the exposure shift to the first image to match relative effective exposure of the second image; and computing a single high dynamic range image from the first and second images.

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: Provided is an image processing device which enables image display that takes full advantage of a color reproduction performance of a panel without providing a viewer with a feeling of strangeness. In at least one embodiment, an image processing device includes: a first color space converter configured to convert an externally transmitted RGB signal into an XYZ signal; a three-dimensional matching processor configured to perform conversion to tristimulus values of the XYZ signal to generate an XYZ signal; and a second color space converter configured to convert the XYZ signal to an RGB signal for a liquid crystal panel.

Abstract: The adaptive contrast enhancer uses an adaptive histogram equalization-based approach to improve contrast in a video signal. For each video frame, the histogram of the pixel luminance values is calculated. The calculated histogram is divided into three regions that are equalized independently of the other. The equalized values are averaged with the original pixel values with a weighting factor that depends on the shape of the histogram. The weighting factors can be also chosen differently for the three regions to enhance the darker regions more than the brighter ones. The statistics calculated from one frame are used to enhance the next frame such that frame buffers are not required. Many of the calculations are done in the inactive time between two frames.

Abstract: A system, method, computer program product, and business method for automatic image glare removal. Glare is often caused by direct reflection of a photographic flash. Images are acquired from at least two different locations, possibly simultaneously, and from one or more cameras, and digitized if necessary. A glare pattern is identified, typically by recognition of a fully overexposed area or known test glare patterns. The images are processed to remove the glare pattern by subtraction of the glare pattern from at least one image and substitution of corresponding data from a related image not identically impacted. The substituted data typically comprises chrominance data, which may be from a luminance-adjusted exposure-bracketed image. The processing may be performed by a camera, a pc, or a networked server, and the processed image is output. The business method includes automated image glare removal via a fee-based per-transaction or subscription service.