Abstract: A hand carried medical imaging device includes a probe configured to acquire raw medical image data, an integrated display, a data memory configured to store the acquired raw medical image data, a back end processor, and a user interface operably coupled to the back end processor configured to receive commands from a user and to instruct the back end processor to display the produced medical image on the integrated display at a first resolution, and to either produce and send either the medical image at the second, higher resolution, to send the acquired raw image data, or both, to the external device, in accordance with the commands from the user.

Abstract: A method, system, and computer-readable storage medium are disclosed for adaptive sampling guided by multilateral filtering. A plurality of versions of a first image are generated. Each of the plurality of versions of the first image has a respective different resolution. A respective priority map is generated for each of the plurality of versions of the first image. Each respective priority map identifies a plurality of high-priority regions in a corresponding one of the plurality of versions of the first image. A second image is rendered based on the priority maps. The rendering comprises performing a ray-tracing process having a greater number of samples per pixel for the high-priority regions of the second image than for other regions of the second image.

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: A first image at a first resolution is received, the first image having a first hole therein. Based on the first image, a second image is generated at a second resolution lower than the first resolution, the second image having a second hole therein corresponding to the first hole. In the second image, one or more second-image source patches for the second hole are identified. At least one first-image source patch in the first image is identified based on a location of the identified second-image source patch. The identified at least one first-image source patch are stored in memory. Fill content are identified in the at least one first-image source patch stored in the memory. The identified fill content are placed in the first hole.

Abstract: A method of processing a digital image having a predetermined color pattern, includes converting the predetermined color pattern of the digital image into a converted digital image having a different desired color pattern; and using algorithms adapted for use with the desired color pattern for processing the converted digital image.

Abstract: Provided are an apparatus for processing adaptive video and a method of scaling video, which generate a graphical user interface (GUI) so that a GUI suitable for the screen size of a display device can be displayed according to the screen size of the display device. The apparatus can realize a GUI most suitable for the screen size of an external display device connected to the apparatus by enlarging or reducing the size of the GUI according to the screen size of the external display device, or by changing the arrangement of items arranged on the GUI.

Abstract: According to various embodiments, the system and method of the present invention process light-field image data in a manner that reduces artifacts and that yields 2-D images with extended depth of field, and with variable placement of the center of perspective. Center of perspective can be varied based on user input or on pre-specified parameters. Various techniques for improving the presentation of light-field images with variable center of perspective are described, and for performing other effects in connection with projection of light-field images.

Abstract: There is provided an image processing apparatus including an acquiring unit for acquiring moving image data containing a plurality of successive frames, and one or a plurality of image data corresponding to the frames and having a spatial resolution higher than the frames; a motion prediction unit for detecting a motion vector between the frames using the moving image data; and an image generation unit for generating motion compensated image data corresponding to a predetermined frame based on the image data and the motion vector. The image generation unit generates the motion compensated image data being positioned between the predetermined frame and a frame corresponding to the image data and corresponding to the frame, and generates motion compensated image data corresponding to the predetermined frame based on the motion compensated image data and the motion vector.

Abstract: To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames FrN and FrN+1, there is estimated a correspondent relationship. Based on the correspondent relationship, the frames FrN+1 and FrN are interposed to obtain first and second interpolated frames FrH1 and FrH2. Based on the correspondent relationship, the coordinates of the frame FrN+1 are transformed, and from a correlation value with the frame FrN, there is obtained a weighting coefficient ?(x°, y°) that makes the weight of the first interpolated frame FrH1 greater as a correlation becomes greater. With the weighting coefficient, the first and second interpolated frames are weighted and added to acquire a synthesized frame FrG.

Abstract: An image processing apparatus and an image processing method, the image processing apparatus including: an image input unit which receives an image; and an image processing unit which generates reference data on the basis of a plurality of learning images classified into a plurality of first classes according to a noise characteristic and a plurality of second classes according to an image characteristic, and which performs scaling for the received image on the basis of the generated reference data.

Abstract: An apparatus usable in an image encoding and/or decoding system includes a segmentation unit to convert a first image of a first resolution into a second image of a second resolution, to segment the second image of the second resolution with one or more blocks of a binary mask layer having a foreground and a background, and to convert the segmented second image into a third image of a third resolution as a segmented image.

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: One exemplary embodiment involves receiving an image with a set of undefined pixels and a set of defined pixels and recursively modifying the image to generate a seamless composition comprising only defined pixels. Disclosed are embodiments for recursively modifying the image by recursively down sampling the image by a factor to generate a plurality of down sampled images until the down sampled image generated at each recursive down sampling lacks undefined pixels and then recursively up sampling each one of the down sampled images by the factor to generate an up sampled image from the respective down sampled image. Additionally, at each recursive up sampling instance, pasting the next recursively occurring down sampled image on the up sampled image to generate the next recursively occurring image for up sampling.

Abstract: A scaling device for receiving and scaling a digital image signal includes a scaling module and a data quantity control logic. The scaling module scales the digital image signal and then outputs a scaled output signal according to a scaling ratio. The data quantity control logic controls output quantity of the scaled output signal according to a scaling ratio. Thus, when the data quantity outputted from the scaling module is controlled within the data quantity that may be processed by the post stage of the scaling module per unit time, the data quantities that may be processed per unit time in the post stage processing devices of the scaling module approximate a constant value such that the post stage processing speed of the scaling module may be increased.

Abstract: The frame rate of a pause frame of a moving image is detected. The number of frame images of the moving image to be used in a process of increasing the resolution of a low-resolution image is determined such that a larger number of frame images is set for a higher detected frame rate. In a super-resolution process, a high-resolution image is generated using the determined number of continuous frame images including the pause frame of the moving image. This makes it possible to appropriately determine the number of frames to be referred to in the super-resolution process in accordance with the frame rate of a moving image when generating a high-resolution image from the frames of a low-resolution moving image.

Abstract: A system and method is provided for automatically recognizing building numbers in street level images. In one aspect, a processor selects a street level image that is likely to be near an address of interest. The processor identifies those portions of the image that are visually similar to street numbers, and then extracts the numeric values of the characters displayed in such portions. If an extracted value corresponds with the building number of the address of interest such as being substantially equal to the address of interest, the extracted value and the image portion are displayed to a human operator. The human operator confirms, by looking at the image portion, whether the image portion appears to be a building number that matches the extracted value. If so, the processor stores a value that associates that building number with the street level image.

Abstract: According to one embodiment, a data reproduction apparatus comprises a reproduction module configured to reproduce image data, a resolution selection module configured to select one of resolutions, an image quality mode selection module configured to select on or off state of an image quality mode, a selection disable module configured to disable the resolution selection module to select a prescribed resolution when the image quality mode selection module selects the on state of the image quality mode, and an image processor configured to improve a quality of the image data reproduced by the reproduction module in accordance with the resolution selected by the resolution selection module when the image quality mode selection module selects the on state of the image quality mode.

Abstract: The invention provides a method for processing a digital image in an image file and an electronic device having a function of displaying the digital image stored in the image file. The method is suitable for displaying the digital image on an electronic device including a storage unit and an image processing unit, and includes the following steps: storing a digital image file in the storage unit of the electronic device; analyzing the digital image file to obtain an image matrix of the digital image and a plurality of matrix elements of the image matrix; and generating a first size-reduced image through the image processing unit, where the first size-reduced image corresponds to a first size-reduced image matrix, which includes some of the matrix elements, said some matrix elements being not next to one another in the image matrix.

Abstract: An embodiment of a method for computing pyramids of input images (I) in a transformed domain, e.g., for search and retrieval purposes, includes:—arranging input images in blocks to produce input image blocks,—subjecting the input image blocks to block processing including: transform into a transformed domain, subjecting the image blocks transformed into a transformed domain to filtering, subjecting the image blocks transformed into a transformed domain and filtered to inverse transform implementing an inverse transform with respect to the previous transform into a transformed domain, thus producing a set of processed blocks. The set of processed blocks, which is recomposeable to an image pyramid, may be used, e.g., in detecting extrema points in images in the pyramid, extracting a patch of given size around the extrema points detected, and processing the patch to obtain local descriptors such as SIFT descriptors of a feature.

Abstract: An imager may be configured to perform pixel binning on captured images. Pixel binning may be performed by forming groups of pixels and combining sampled values from the pixels in each group. The sampled values from the pixels may be combined by assigning weights to each pixel, scaling the sampled values by the corresponding weights, and summing the scaled values. The groups of pixels and pixel weights may be selected to produce binned images with even spatial distribution. The pixel binning operation may be performed by processing circuitry that receives captured image data from the imager. The pixel binning operation may also be separated into a horizontal binning step and a vertical binning step that are performed by image readout circuitry during image readout. During the horizontal binning step, pixels of a particular row may be combined. During the vertical binning step, pixel rows may be combined.

Abstract: A method for creating a plurality of layer images from an input image is provided. The method includes analyzing an input image for color content to detect at least one dominant color in the image and for shape recognition to detect at least one object in the image. The method also includes generating a concentric grid for the input image based on the color content analysis and the shape recognition for a depth calculation of the input image. The concentric grid includes a center point, a plurality of lines that radiate from the center point, and a plurality of concentric circles that expand at a spatial distance in the input image. The concentric circles divide the input image into a plurality of sections, each of which represents an equal spatial depth. The method further includes generating a plurality of layer images using at least two of the plurality of sections.

Abstract: According to various embodiments of the invention, improved downsampling techniques are employed, which can be applied to light field images and which preserve the ability to refocus (and otherwise manipulate) such images. Groups of pixels, rather than individual pixels, are downsampled; such groups of pixels can be defined, for example, as disks of pixels. Such downsampling is accomplished, for example, by aggregating values for pixels having similar relative positions within adjacent disks (or other defined regions or pixel groups) of the image. When applied to light field images, the downsampling techniques of the present invention reduce spatial resolution without sacrificing angular resolution. This ensures that the refocusing capability of the resulting light field image is not reduced and/or adversely impacted.

Abstract: The present invention provides a method, apparatus and system of content creation, content post processing, new image capture and image composition whereby alternate images or video content may be selectively integrated into an original video in real time. In the present invention, sufficient metadata is created at the time of the creation of the original video content to both describe objects/areas in the original video that are available for integration of alternate images/video and to provide a means of controlling the alternate video capture and processing to fit the alternate image/video into the areas in the original video defined as available for integration of alternate image/video. The result is a mechanism whereby personal/alternate video/images may be integrated with existing video content, such as in one embodiment, music videos (e.g., video Karaoke), games, broadcast video, DVD videos, and the like, in real time.

Abstract: An image forming apparatus includes: an acquiring unit; a resolution converting unit; a receiving unit; a position determining unit; a correcting unit; and a scaling unit. The acquiring unit acquires image data composed of a plurality of pixels; the scaling-factor determining unit determines a scaling factor of the acquired image data; the resolution converting unit converts a resolution of the acquired image data into a higher resolution than the resolution of the image data; the receiving unit receives a designation of a sub-scanning directional shift amount of a correction pixel to be corrected; a position determining unit performs a position determining process; and the scaling unit scales the image data at the determined scaling factor by causing the position determining unit and the correcting unit.

Abstract: An image processing apparatus comprises a division unit configured to divide an input image into a plurality of tiles of a predetermined size; a resolution conversion unit configured to convert the input image into a low-resolution image; and a determination unit configured to determine an attribute of a tile of interest from a pixel feature in the tile of interest, the tile of interest being included in the plurality of tiles obtained by the division unit dividing the input image; a generation unit configured to generate a histogram for pixels in a low-resolution tile that is obtained by converting an image of the same region as the tile of interest into a low-resolution image, the histogram indicating a relationship between each color of pixels and the number of pixels of that color.

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 computer implemented that, in various aspects, transforms a grayscale image into an OCR image by applying a combination of steps to the grayscale image is disclosed herein. The grayscale image may include one or more alphanumeric characters. The grayscale image may includes visual content displayed upon a computer screen, so that the grayscale image may have a resolution generally equivalent to a screen resolution of the computer screen prior to application of the combination of steps thereto. The resultant OCR image, in various implementations, is of sufficient resolution and quality that an OCR engine can generally recognize alphanumeric characters imbedded within the OCR image.

Abstract: Systems and methods which provide generation of high resolution depth maps from low resolution depth information using boundary-based processing techniques are disclosed. Boundary-based depth processing provided by embodiments implements boundary detection and boundary-based interpolation algorithms for providing high resolution depth information from low resolution depth information and high resolution image information. Boundary detection algorithms are implemented according to embodiments to detect object boundaries (e.g., depth discontinuities), where the low resolution depth samples are typically inaccurate and generally in need of refining. Boundary-based interpolation algorithms are implemented according to embodiments of the invention to refine intermediate upsampled depth information (e.g., spatially interpolated low resolution depth information), using the boundary information provided by a boundary detection algorithm, and provide high resolution depth information.

Abstract: An image processing apparatus includes a determination unit that determines a type of a provided object, a resolution conversion unit that converts a resolution of the object determined by the determination unit as an image into a resolution of an output image, an object processing unit that performs a spatial frequency processing for the object after the resolution conversion by the resolution conversion unit depending on a ratio between a resolution of the object before the resolution conversion and a resolution of the output image, and a generating unit that generates the output image based on the object subjected to the spatial frequency processing in the object processing unit.

Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object, the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object. An offset is passively associated with each of the plurality of images to derive effective camera movement, allowing for calculation of a kinetic point spread function on the basis of the effective camera movement. The image sequence is deconvolved, using the kinetic point spread function, to solve for a high-resolution image. Various applications such as portable cameras and infrared imaging for energy conservation are described.

Abstract: An image decoder includes a base layer to decode at least a portion of an encoded video stream into a first image having a first image format. The image decoder can generate a color space prediction by scaling a color space of the first image from the first image format into a color space corresponding to a second image format. The image decoder includes an enhancement layer to decode the encoded video stream to generate a second image in the second image format based, at least in part, on the color space prediction.

Abstract: An image processing device is provided that includes an image acquisition unit that obtains video data that includes a plurality of consecutive frames, and also obtains image data that correspond to some of the frames and have a higher spatial resolution than the frames. The image processing device also includes a super resolution processing unit that uses a plurality of the frames to perform super resolution processing on the frames, and that generates super resolution images that correspond to the frames. The image processing device further includes a motion estimation unit that uses the video data to detect a motion vector between the super resolution images and an image generation unit that, based on the super resolution images corresponding to the image data and on the motion vector, generates motion compensated image data that corresponds to the frames.

Abstract: Provided is an image processing apparatus and image processing method that make it possible to reduce jaggedness and blurring that may occur when performing resolution conversion of an inputted image from low resolution to high resolution, and make it possible to output a high-resolution image. When performing the conversion from low resolution to high resolution, a multi-gradation signal value pattern that surround a pixel of interest for which interpolation is being performed is acquired. By performing pattern matching, a pattern that corresponds to the acquired signal value pattern is extracted from among pattern files that are prepared in advance for the acquired signal value pattern, after which the image is converted to high resolution by signal value substitution and then outputted.

Abstract: Described is a knowledge-enhanced compressive imaging system. The system first initializes a compressive measurement basis set and a measurement matrix using task- and scene-specific prior knowledge. An image captured using the imaging mode of the dual-mode sensor is then sampled to extract context knowledge. The compressive measurement basis set and the measurement matrix are adapted using the extracted context knowledge and the prior knowledge. Task-relevant compressive measurements of the image are performed using the compressive measurement mode of the dual-mode sensor, and compressive reconstruction of the image is performed. Finally, a task and context optimized signal representation of the image is generated.

Abstract: Methods and systems for generating high resolution composite imagery are provided. The methods and systems can create a fully-in-focus high resolution composite image by combining a number of source images in which only a part of the source image is in-focus. The composite image can be analyzed to identify portions of the composite image that satisfy an image quality metric. The capture of additional source images can be controlled based at least in part on the image analysis of the composite image. In addition, a control routine for capturing the plurality of source images can be dynamically adjusted based on the image quality of the individual source images.

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 method for enhancing an input image to produce an enhanced output image is provided. The method includes constructing a photographic-mask intermediate image without low-contrast details and a temporary-image intermediate image with enhanced mid-contrast details, retained high-contrast details, and reduced low-contrast details, and employing values for the photographic-mask intermediate image and temporary-image intermediate image to produce the enhanced output image that is globally and locally contrast-enhanced, sharpened, and denoised.

Abstract: Provided are an image fusion apparatus and method for combining multi-exposure images. The image fusion apparatus and method may generate a sharp high-resolution high dynamic image while fully representing detail in an over-exposed region and an under-exposed region of the image without contrast degradation.

Abstract: A method for producing an improved high resolution image is disclosed including capturing low resolution images and a high resolution image; combining the low resolution images to provide an aggregate low resolution image; reducing the resolution of the high resolution image to provide an image representative of a low resolution image that could have been captured by the image capture device; interpolating the representative low resolution image to provide an interpolated high resolution image; calculating a residual image from the high resolution image and the interpolated high resolution image; combining the representative low resolution image and the aggregate low resolution image to provide a final low resolution image; and using the final low resolution image and the residual image to provide the improved high resolution image.

Abstract: An image processing system includes an image reconstruction unit. The image reconstruction unit is configured to receive an image at a first resolution, apply the image to a look-up table and output a version of the image at a second resolution. The second resolution includes a higher resolution than the first resolution. In addition, the look-up table is generated inputting a plurality of training images; classifying, into a number of classes, a plurality of images patches corresponding to each of the plurality of training images; re-classifying the number of classes into a final class; and synthesizing filters corresponding to each of the class into a final filter value.

Abstract: An image processing apparatus and control method thereof are provided. The image processing apparatus includes a plurality of connectors that is connected to a plurality of display apparatuses having a predetermined resolution, an image processor that divides a source image corresponding to the number of the plurality of display apparatuses connected through the connectors, a plurality of scalers that are provided corresponding to the plurality of connectors connected to the plurality of display apparatuses, and scales a resolution of the divided source image to correspond with the resolution of the corresponding display apparatuses and a controller that transmits the plurality of adjusted source images to the plurality of display apparatuses.

Abstract: A video transcoder for converting an encoded input video bit-stream having one spatial resolution into an encoded output video bit-stream having a lower spatial resolution, wherein motion-vector dispersion observed at the higher spatial resolution is quantified and used to configure the motion-vector search at the lower spatial resolution. For example, for video-frame areas characterized by relatively low motion-vector dispersion values, the motion-vector search may be performed over a relatively small vector space and with the use of fewer search patterns and/or hierarchical search levels. These constraints enable the transcoder to find appropriate motion vectors for inter-prediction coding without having to perform an exhaustive motion-vector search for these video-frame areas, which advantageously reduces the computational complexity and processor load compared to those of a comparably performing prior-art video transcoder.

Abstract: A system for authoring, publishing, and distribution of electronic documents is provided. The system includes a content authoring and publishing application to author and publish electronic documents, a content distribution system to distribute electronic documents, and a set of user devices that include digital content viewing applications that are used to read the electronic documents. The content authoring and publishing application is used to author and publish high-resolution versions of electronic documents. The high-resolution version of each document is associated with a set of annotations for each high-resolution image in the document. The annotations allow an electronic document thinning tool in the content distribution system to create a low-resolution version of each image and generate a low-resolution version of the electronic document without receiving low-resolution images from the author of the document.

Abstract: In a method of processing a super-resolution target image from a plurality of substantially low resolution auxiliary frames, the target image is partitioned into a plurality of adaptively sized blocks, which are sized based upon registration confidence levels of the blocks obtained from information contained in the plurality of auxiliary frames. The blocks are classified into a plurality of different categories according to one or both of their respective registration confidence levels and their respective variance levels. In addition, separate enhancement modes designed to enhance the blocks are selected according to their respective classifications and applied on the blocks to enhance the target image.

Abstract: There are provided a data processing apparatus which makes an I/F for data processing modules (processors) versatile to facilitate addition/modification on a data processing module basis in accordance with processing contents, an image processing apparatus, and a method for the apparatuses. A data processing module (3) includes a read address generator (11), read FIFO (7), write address generator (13), write FIFO (9), and arbiter (10) and is connected to a host arbiter (4) through a 1-channel port. The read address generator (11) and write address generator (13) generate interrupts upon acceptance of final access requests so as to control activation of each data processing module (8-1-8-m) in accordance with the state of each data processing module in interrupt processing. Note that data transfer among the respective data processing modules is performed on a RAM (6).

Abstract: An information processing apparatus including a user-information analyzing unit which analyzes user information and calculates a variation in parameter. A procedure selecting unit classifies, based on the calculated amount, the user into a predetermined group, and acquires, from a procedure database, a procedure corresponding to the group of the user. A basic part producing unit records, in a product's ROM, various set values. Based on the result of analysis by the user-information analyzing unit, a unique part producing unit records an initial parameter value in the product's ROM. A system controller controls a storage unit to store a characteristic amount extracted by an image-characteristic-amount extracting unit and setting conditions on the image processing which are supplied from a remote control signal receiving circuit so that both are associated to each other.

Abstract: A method and a system for resolution conversion of Magnetic Ink Character Recognition (MICR) content in an image are provided. The method is implemented in a computer system comprising one or more processors configured to execute one or more computer program modules. The method includes receiving image data of the image, the image data having a plurality of image planes in which one plane is a MICR image plane, wherein the plurality of image planes have essentially the same resolution; and converting the resolution of the MICR image plane to a resolution of a MICR print engine different from the remaining image planes.

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: 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: Methods to zoom a region of interest from a digital image have been achieved. The methods invented support according to the scale of zooming the decrease or the increase of the resolution of digital images. The region of interest to be zoomed is variable; the destination image has a fixed size. In case of a decrease of the resolution of the region of interest the method invented combines interpolating source pixels to calculate the color values of the destination pixels and omitting some rows of source pixels. In case of enlargement the method invented combines interpolation of the source pixels to calculate the color values of the destination pixels, extrapolation of the destination pixels being close to the edge of the image, and replication of some of the interpolated rows of the destination image to gain additional rows according to the scale of the increase of resolution (enlargement) of a digital image.