Abstract: System and method for converting source image data to tile data including (a) selecting a source image set; (b) computing a scaling value for the source image set; (c) establishing tile set geographic bounds of a tile set that is created based on the scaling value; (d) converting the tile set geographic bounds to discrete tile bounds; (e) for each source image (i) determining source image geographic bounds; (ii) if there is an intersection between the source image geographic bounds and the tile set geographic bounds, (1) extracting image data from the source image at the intersection; (2) scaling the image data based on a pre-selected scale; (3) storing the scaled image data to a tile storage mechanism; and (f) repeating steps (a) through (e) for each of the source image sets.

Abstract: Down-sampling of an image may be performed in the DCT domain. Transform matrices are obtained for down-sampling a DCT image of size M×N to a down-sampled DCT image of size I×J. The transform matrices may be used to down-sample the DCT image directly in the DCT domain. A spatial domain down-sampling method is selected and applied to the DCT image to produce a down-sampled DCT reference image. The transform matrices are selected by solving an optimization problem, leading to transform matrices which achieve a desired trade-off between the visual quality of images obtained using the transform matrices and the computational complexity associated with using the transform matrices. The visual quality is a measure of the difference between the down-sampled DCT image obtained using the transform matrices and the visual quality of the DCT reference image obtained using a spatial domain down-sampling method.

Abstract: A method and apparatus for converting a resolution of a block-based image. The method includes: dividing a low resolution image frame into a plurality of blocks, each block having a predetermined size; performing motion prediction in a sub-pixel unit of each of the divided blocks and determining a motion vector in the sub-pixel unit; dividing the motion vector of the sub-pixel unit into a first motion vector having an integer pixel unit and a second motion vector having the sub-pixel unit; determining at least one low resolution reference block corresponding to each of the divided blocks by using the first motion vector having the integer pixel unit; converting each of the divided blocks into high resolution block by using the second motion vector having the sub-pixel unit and the one low resolution reference block; and generating a high resolution image frame by using each of the converted high resolution blocks.

Abstract: A method and system of generating a super-resolution image is provided. fusing The method includes inputting an image; and generating an estimated high-resolution image of a current time by fusing an input image and an estimated high-resolution image of a previous time corresponding to the input image.

Abstract: Systems, methods, and apparatus for sampling images using edge detection are presented herein. A gradient component can calculate at least one gradient of a luminance of a block of pixels based on at least one direction; and select a minimum gradient of the at least one gradient of the luminance. Further, a direction component can determine a direction of the block based on a direction of the minimum gradient of the at least one gradient of the luminance. Moreover, a sampling component can alternately select subpixels of the block based on the direction of the block. In addition, a filter component can calculate at least one gradient of a color of a subpixel of the subpixels based on the at least one direction; determine a direction of the subpixel based on the at least one gradient of the color; and filter the subpixels based on the direction of the subpixel.

Abstract: An apparatus generally having a first memory, a second memory and a circuit is disclosed. The first memory may be configured to store a warp table. The warp table is generally accessed through a single data port of the first memory. The second memory may be configured to buffer an input image. The input image may have a plurality of input pixels arranged in two dimensions. The circuit may be configured to generate an output image by a warp correction of an input image. The warp correction may be defined by the warp table. The output image may include a plurality of output pixels. At least one of the output pixels maybe generated during each clock cycle of the circuit.

Abstract: Embodiments of the present invention include apparatuses, systems and methods for multi-patch based super-resolution from a single video frame. Such embodiments include a scale-invariant self-similarity (SiSS) based super-resolution method. Instead of searching HR examples in a database or in LR image, the present embodiments may select the patches according to the SiSS characteristics of the patch itself, so that the computational complexity of the method may be reduced because there is not any search involved. To solve the problem of lack of relevant examples in natural images, the present embodiments may employ multi-shaped and multi-sized patches in HR image reconstruction. Additionally, embodiments may include steps for a hybrid weighing method for suppressing artifacts. Advantageously, certain embodiments of the method may be 10˜1,000 times faster than the example based SR approaches using patch searching and can achieve comparable HR image quality.

Abstract: A method for resizing an input digital image to provide a high-resolution output digital image having a larger number of image pixels. The input image pixels in the input digital image are analyzed and assigned to different pixel classifications. A plurality of pixel generation processes are provided, each pixel generation process being associated with a different pixel classification and being adapted to operate on a neighborhood of input image pixels around a particular input image pixel to provide a plurality of output image pixels. Each input image pixel is processed using a pixel generation process that is selected in accordance with the corresponding pixel classification to produce the high-resolution output digital image.

Abstract: The disclosure provides a method for image processing, including: loading and decrypting an image file to obtain an original image, and saving the original image; shrinking the original image to obtain a pending image with a preset resolution, and saving the pending image; editing the pending image and previewing the pending image in real time; and editing the original image after the real-time previewing. The disclosure also provides a system for image processing. the disclosure can increase efficiency of real-time preview at the time of image editing.

Abstract: A super-resolution method and apparatus for a video image are disclosed. The method includes performing super-resolution processing based on fuzzy motion estimation by integral multiple times on an original low-resolution video image, to obtain an intermediate high-resolution video image. When resolution of the intermediate high-resolution video image is different from resolution of a target high-resolution video image, a non-integral multiple between the resolution of the target high-resolution video image and the resolution of the intermediate high-resolution video image is calculated. Super-resolution processing based on interpolation by the non-integral is performed multiple times on the intermediate high-resolution video image, to obtain the target high-resolution video image.

Abstract: An image processing module performs efficient image enhancement according to a multi-scale energy minimization process. One or more input images are progressively downsampled to generate a pyramid of downsampled images of varying resolution. Starting with the coarsest downsampled image, a label map is generated that maps output pixel positions to pixel positions in the downsampled input images. The label map is then progressively upsampled. At each upsampling stage, the labels are refined according to an energy function configured to produce the desired enhancements. Using the multi-scale energy minimization, the image processing module enhances image via hole-filling and/or super-resolution.

Abstract: Provided is an information processing method, including: receiving a request for a partial image from a terminal, the partial image being at least a part of a first-format pathological image, the first-format pathological image including a plurality of layers of first images having different resolutions, the terminal being capable of displaying the first-format pathological image; obtaining a layer of second-format pathological image having a resolution corresponding to the received request, the second format being different from the first format; converting the obtained layer of second-format pathological image into a first-format pathological image having a corresponding resolution; storing the converted first-format pathological image; and extracting the partial image corresponding to the received request from the stored first-format pathological image in response to the received request, and replying the partial image to the terminal.

Abstract: A resize process is performed on an examination image to produce a high quality image and a low quality image. Image quality of the low quality image is lower than that of the high quality image. A distribution controller transmits the high quality image to a support terminal of a registered support medical staff who provides medical support based on the examination image. The distribution controller transmits the low quality image to a support terminal of a registered support medical staff who does not provide the medical support based on the examination image.

Abstract: Various embodiments are disclosed for performing inpainting. One embodiment is a method for editing a digital image in an image editing device. The method comprises obtaining an inpainting region in the digital image, determining a target resolution for scaling a resolution of the digital image based on an original resolution of the digital image, and determining an intermediate resolution level for scaling a resolution of the digital image based on the target resolution. The method further comprises scaling the resolution of the digital image to the intermediate resolution level, performing partial inpainting of the inpainting region at the intermediate resolution, and performing inpainting on a remainder portion in the inpainting region at a final target resolution.

Abstract: A method for increasing the resolution of a frame of a video includes receiving at least three frames of the video and compensating for the motion of a portion of at least two of the frames with respect to another one of the frames. After the motion compensation, spatially processing each of the frames of the video to increase the resolution of each of the at least three frames of the video. After the spatial processing, temporally processing at least three frames to determine the increased resolution of the frame of the video, wherein the frame is one of the at least three frames of the video.

Abstract: A diagnosis image generation apparatus is provided. The diagnosis image generation apparatus includes a low resolution image signal synthesis unit configured to synthesize each of a plurality of low resolution image signals by using a signal reflected from a subject, a weight calculation unit configured to calculate a weight, which is used to synthesize a high resolution image signal, with a signal value which corresponds to each of positions of some pixels among a plurality of signal values corresponding to respective positions of a plurality of pixels forming each of the synthesized low resolution image signals, and a high resolution image signal synthesis unit configured to synthesize the high resolution image signal by applying the calculated weight to each of the low resolution image signals.

Abstract: A method and system for improving picture quality of color images by combing the content of a plurality of frames of the same subject; comprising: at least one processor; the at least one processor comprising a memory for storing a plurality of frames of a subject; the at least one processor operating to combine the content of plurality of frames of the subject into a combined color image by performing: a process in which at least two multicolored frames are converted to monochromatic predetermined color frames; a gross shift process in which the gross shift translation of one monochromatic predetermined color frame is determined relative to a reference monochromatic predetermined color frame; a subpixel shift process utilizing a correlation method to determine the translational and/or rotational differences of one monochromatic predetermined color frame to the reference monochromatic predetermined color frame to estimate sub-pixel shifts and/or rotations between the frames; and an error reduction process to

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for graphical overlay object translation. One of the methods includes receiving a first plurality of first feature points, each first feature point being associated with a plurality of feature descriptors and a respective location on the first digital image. The method includes receiving a second plurality of second feature points, each second feature point being associated with a plurality of feature descriptors and a respective location on the second digital image. The method includes determining the translation offset for the second digital image from the first digital image by matching locations of the first feature points with locations of the second feature points without regard to the feature descriptors.

Abstract: Non-destructive collaborative editing may include a node among a plurality of nodes in a distributed collaborative environment receiving an input indicating a change regarding a displayed image. The node may receive another input to finalize the change. In response to the other input, the node may generate a rendition that reflects the change applied to the image without replacing an original version of the image. The rendition may include a thumbnail and a rendered preview of an adjusted version of the image based on the change. In one embodiment, textual information that describes a change regarding an image of a plurality of images may be received from a node of a plurality of nodes in a distributed collaborative environment. The textual information may be stored. Application of the textual information to an image may result in a modified version of the image in addition to the original version.

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

Abstract: A manuscript reading apparatus capable of reading manuscript through a proper scan resolution without performing troublesome operation by user is supplied. In the image reading apparatus, a setting section 102 sets a scan resolution; an image reading section 103 reads manuscript through the set scan resolution; a storing section 104 stores the read image data; and an image processing section 106 determines a recommended resolution with respect to the scan resolution according to a continuous number of the same pixel in the image data.

Abstract: A method for determining a scaled color map of a scaled image is described using the transformation of the original color map and the original image only, independently of the scaled image. A number of colors N in the original color map is determined; and provided N>Nmax, all colors in the original color map are reused in the scaled color map. If N<Nmin, the number of colors in the original color map is increased. Otherwise, the scaled color map is formed including: selecting a sub-set of colors in the original color map; increasing a number of colors in the selected sub-set; adding the resulting sub-set with increased number of colors to the original color map; and removing duplicate colors, wherein Nmin and Nmax are respective predetermined minimum and maximum thresholds for a number of colors in the original color map. A corresponding system is also provided.

Abstract: A method for scaling an image includes providing a set of filters based upon a low-resolution data set and a high-resolution data set suitable for up-scaling a low resolution image to a high resolution image. The filters are collectively representative of at least a portion of an image space and a substantial number of the filters are representative of a different at least one selected from a volume and a shape within the image space. A low-resolution image is received and generates a corresponding high-resolution image based up the filters.

Abstract: A method for varying a view of a digital image to be sent to a display. The method comprises retrieving image data representing a first area of the digital image from a reduced size, in regard of number of pixels, representation of the digital image, sending the retrieved image data representing the first area to the display, receiving a user input signal requesting a second area to be sent to the display, retrieving image data representing the second area of the digital image from the reduced size representation of the digital image, and sending the retrieved image data representing the second area to the display.

Abstract: Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.

Abstract: A super-resolution processor in one aspect of the present invention first estimates a motion between an input image and a delayed input image which is obtained by delaying the input image by some frames, and determines a motion vector in super-resolution processing of adding a high frequency component using a learning database. Subsequently, the super-resolution processor updates an evaluation value evaluated when a patch is extracted in a target block of the input image, so that a learned high frequency patch is likely to be selected, the learned high frequency patch being the same as the learned high frequency patch used for super-resolution processing performed at the position motion-compensated by the motion vector in the frame at the same time as the time of the delayed input image.

Abstract: A device and a method for image zooming are provided, in which two FIFO buffer units and a read/write control unit are added between a data storage unit and an image zooming unit. The read/write control unit respectively controls two FIFO buffer units to obtain and output the gray values of the pixels on the two adjacent channels to the image zooming unit in parallel. Then, the image zooming unit calculates gray values of pixels to be inserted between the two adjacent channels to finish interpolation. The image zooming unit need not read the gray values of the pixels on the two adjacent channels in the zooming direction from the data storage unit in series and in turn, but instead, may simultaneously read the gray values of the pixels on the two adjacent channels to pixels to be inserted from the two FIFO buffer units in parallel.

Abstract: An imaging system has an imager comprising a plurality of jots. A readout circuit is in electrical communication with the imager. The readout circuit can be configured to facilitate the formation of an image by defining neighborhoods of the jots, wherein a local density of exposed jots within a neighborhood is used to generate a digital value for a pixel of the image.

Abstract: The invention is directed to an image processing device and a processing method thereof. The image processing device comprises an image calibration module estimating multiple local motions and global motions of unselected images relative to a target image and performing multiple motions calibrations so as to generate multiple calibrated images, a moving-object detection module determining if a difference value between each of the local motions and the corresponding global motions is greater than a threshold value and if a pixel difference value between each pixel point of the target image and each pixel point of the calibrated images is greater than a predetermined difference value so as to generate multiple object motion pointers, and an image blending module performing a calculation on each pixel point of the target and calibrated images based on the object motion pointers so as to generate a super-resolution image.

Abstract: A method of up-sampling binary images for segmentation is described. In an embodiment, digital images are down-sampled before segmentation. The resulting initial binary segmentation, which has a lower resolution than the original image, is then up-sampled and smoothed to generate an interim non-binary solution which has a higher resolution than the initial binary segmentation. The final binary segmentation for the image is then computed from the interim non-binary solution based on a threshold. This method does not use the original image data in inferring the final binary segmentation solution from the initial binary segmentation. In an embodiment, the method may be applied to all images and in another embodiment, the method may be used for images which comprise a large number of pixels in total or in single dimension and smaller images may not be down-sampled before segmentation.

Abstract: An image adjusting method is adapted to an image adjusting circuit. The image adjusting method includes following steps. An image signal is received and up-sampled to generate a first up-sampled image signal and a second up-sampled image signal. The first up-sampled image signal includes interpolated pixels and original pixels. Values of the interpolated pixels and the original pixels are detected, and a weight value is outputted according to the detection result. Whether the values of the interpolated pixels are adjusted or not is determined based on the detection result. According to the weight value, the second up-sampled image signal and the adjusted first up-sampled image signal are mixed to output a mixed image signal. An image adjusting circuit is also provided.

Abstract: A method for calculating an image quality metric for evaluating the quality of a digital image including the steps of denoising the data of the image, identifying edges in the denoised data, determining an edge profile of the edges, determining a grayscale angle for each identified edge in the edge profile that is associated with the edge, and calculating the image quality metric based on a weighted average of the grayscale angles for all the edges.

Abstract: A computerized system for up-scaling a source input video from a lower, first resolution to a desired output video having a higher, second resolution, using fractal zooming techniques to replace each individual source pixel of each respective frame of the source input video with a multiple of proposed replacement pixels in the vertical and horizontal dimensions having similar characteristics as the individual source pixel, converting each of the proposed replacement pixels into a desired color space for the desired output video, using low-pass filtering to reduce noise associated with each respective frame of the desired output video, down-sizing the output video to its desired resolution, and outputting each zoomed replacement frame to generate the desired output video.

Abstract: An system is described for managing bicubic downsampling in a constrained environment. The system may be configured to detect a request for a destination image, access a read-copy pattern for the ratio of downsampling, access the source image, and generate the destination image using the source image and the read-copy pattern.

Abstract: Various embodiments illustrated and described herein include at least one of systems, methods, and software that utilizes imagery from a single high-resolution camera to capture images, locate individuals, and provide images to a facial recognition process. Some embodiments also include prioritization and filtering that choose which captured images from a stream of images to process and when to process them when there are many images to be processed.

Abstract: A digital image signal processing apparatus includes a plurality of line memories, a line memory control unit that controls input image data corresponding to an input image to be input to each of the plurality of line memories and to be output from the plurality of line memories, a data patch generating unit that sequentially accesses the input image data stored in each of the plurality of line memories and generates a data patch for noise reduction filtering, and a filtering unit that performs the noise reduction filtering on the data patch and generates output image data. A digital image signal processing apparatus and method thereof thus may perform a high-speed noise reduction filtering operation and generate an output image having a same size as an input image while maintaining a same quality as the input image.

Abstract: An image processing apparatus includes a data supply node to receive line data scanned in a main scan direction of an image, an image enlargement unit coupled to the data supply node to apply to the line data an enlargement process for enlarging the image by an enlargement factor equal to an integer so as to produce enlarged data at an output node, and an image reduction unit coupled to the output node of the image enlargement unit to apply to the enlarged data a reduction process for reducing the enlarged image by a desired reduction factor so as to produce reduced data at an output node.

Abstract: An image forming apparatus includes a resolution converting unit, an address generating unit, a density determining unit, and an image path selector. The resolution converting unit converts a resolution of image data into a higher resolution. The address generating unit performs a position determining process of determining a position of an additional pixel on the basis of main-scanning directional positions of pixels composing the converted image data and respective shift amounts of the pixels shifted to a sub-scanning direction. The density determining unit determines a density of the additional pixel on the basis of a density of a pixel located at a position corresponding to the determined position in the image data. The image path selector scales the image data up or down by controlling the address generating unit while adding the additional pixel having the determined density to the determined position.

Abstract: The invention relates to a method for detecting a moving object in a sequence of images captured by a moving camera. The method comprises the step of constructing a multiple number of difference images by subtracting image values in corresponding pixels of multiple pairs of images being based on captured images. Further, the method comprises the step of retrieving a moving object by extracting spatial information of pixels in the multiple number of constructed difference images having relatively large image values. In addition, from a pair of images in the construction step an image is a representation of a high resolution image having a higher spatial resolution than original captured images on which the high resolution image is based.

Abstract: Statistical analysis techniques based on auto- and cross-correlations/cumulants, of image stacks of fluctuating objects are used to improve resolution beyond the classical diffraction limit and to reduce the background. The time trajectory of every pixel in the image frame is correlated with itself and/or with the time trajectory of an adjacent pixel. The amplitude of these auto- or cross-correlations/cumulants of each pixel, at a given time lag or averaged or integrated over an interval of time lags, is used as the intensity value of that pixel in the generated superresolved optical fluctuation image.

Abstract: An image data processing apparatus includes a processing unit that detects an attribute of image data input. The image data processing apparatus also includes a network interface that receives content data from an external section. When the processing unit detects that the image data is contained in a predetermined location of the content data, the processing unit processes, based on the attribute detected and in accordance with an aspect ratio of a display section where the image data is to be displayed, the image data such that a horizontal to vertical ratio of the image data is kept when the image data is displayed on the display section.

Abstract: As set forth herein, a computer-implemented method facilitates replacing text on cylindrical or curved surfaces in images. For instance, the user is first asked to perform a multi-click selection of a polygon to bound the text. A triangulation scheme is carried out to identify the pixels. Segmentation and erasing algorithms are then applied. The ellipses are estimated accurately through constrained least squares fitting. A 3D framework for rendering the text, including the central projection pinhole camera model and specification of the cylindrical object, is generated. These parameters are jointly estimated from the fitted ellipses as well as the two vertical edges of the cylinder. The personalized text is wrapped around the cylinder and subsequently rendered.

Abstract: In order to perform vehicle control, a warning process, and the like which do not give a driver an uncomfortable feeling in speed adjustment, a warning process, and the like corresponding to a road shape such as a curve, it is necessary to recognize not only a near road shape but also a far road shape with high accuracy.

Abstract: Disclosed herein is an image processing apparatus including an up-sampling section configured to carry out up-sampling processing in order to generate an up-sampled image, a motion-compensated image generation section configured to generate a motion-compensated image as a result of correction processing to adjust a referenced image having the second resolution to a photographing-object position on the up-sampled image by making use of information on a difference between the up-sampled image and the referenced image, a blending processing section configured to generate a blended image as a result of blending processing to blend the up-sampled image with the referenced image, and an output-image generation section configured to receive and process the blended image as well as the up-sampled image in order to generate an output blended image obtained by blending a super-resolution processing-result image with a noise-reduction processing-result image.

Abstract: A method of automatically tracking the portions of a 3D medical imaging volume, such as the voxels, that have already been displayed according to use-defined display parameters, notating those portions, and providing the user with information indicating what portions of the imaging volume have been displayed at full resolution.

Abstract: An image conversion device is disclosed, having an image converting circuit for receiving a first and a second image frames of a first format and generating a third and a fourth image frames of a second format; and a signal generating circuit coupled with the image converting circuit for generating a plurality of first synchronization signals having a substantially fixed period and one or more second synchronization signals for the third and the fourth image frames, wherein each of the second synchronization signals is synchronized with one of the first synchronization signals and the third image frame contains at least one more first synchronization signal than the fourth image frame.

Abstract: An image processing apparatus for scaling an image including: an operation position determining section for determining a pixel operation position, which is either a pixel inserting or deleting position, based on a scaling ratio; an inserting/deleting section for inserting/deleting a pixel to/from the pixel operation position determined by the operation position determining section; an error calculating section for calculating a density difference as an error between densities in a vicinity of the inserted/deleted pixel via the inserting/deleting section, before and after the insertion or deletion; and an error allocating section for allocating the error, calculated by the error calculating section, to the inserted pixel and pixels in a vicinity of the inserted or deleted pixel, so that a pixel value, after allocation, of a pixel of an allocation destination, falls within an allowable range estimated from a pixel value of a pixel near the pixel of allocation destination.

Abstract: An image processing device may include detection means for detecting a motion vector of an input image signal which is an input time-series image signal; interpolation means for interpolating, based on the motion vector, a signal between input image signals which is an image signal at an arbitrary time between the input image signal and a previous input image signal immediately preceding the input image signal, the interpolation means for further outputting an interpolated signal; acquisition means for acquiring superimposition information which indicates the position, in the input image signal, of a predetermined image signal to be superimposed on the input image signal; and specification means for specifying, based on the superimposition information, at least one non-interpolation region of the signal between input image signals in which the interpolation is not performed.

Abstract: An image taking system including: (a) a CMOS or CCD image sensor; (b) an interest-region setter configured to set regions of interest within an image taking area of the image sensor; (c) an acquiring-condition determiner configured to determine an image-data acquiring condition required for acquiring at least two image data generated in at least two of the regions of interest; and (d) an image-data acquirer configured to acquire the at least two image data. The acquiring-condition determiner includes an exposure-time determining portion configured to determine, as the image-data acquiring conditions, at least two different exposure times required for acquiring the at least two image data generated in the at least two regions of interest. The image-data acquirer includes an exposure-time-based-image-data acquiring portion configured to acquire the at least two image data, such that the acquired at least two image data are based on the at least two different exposure times.

Abstract: A system and method for enhancing digital images is described. A digital image is transformed into a series of decomposed images in frequency bands, or different resolution grids. A decomposed image is noise suppressed and contrast enhanced. Representative value of signal at each pixel is computed based on contributions to signals from pixels in a neighborhood of the pixel. Lookup tables are applied to pixel values to selectively enhance signal in a predetermined range of signal strength. Another set of lookup tables are applied to pixel values to suppress noise components contained therein. Optionally, operations are applied to decomposed images to suppress quantum noise, enhance object edges or enhance global contrast, among others. These decomposed images, after signal enhancement and noise suppression, are then recombined to result in an enhanced image.