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: The invention discloses an image processing method. The image processing method utilizes the relatively low point and the relatively high point of the luminance of the pixels in the frame to generate the crest lines. Then, various image processing are performed according to the state of the crest line.

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

Abstract: Systems and methods are provided for switching a resolution of an image, wherein the image includes at least one block. In some embodiments, the image is compressed. At least one compressed block in the compressed image is tagged, if the data size of the compressed block exceeds a threshold. A non-transition region is grown based on the at least one compressed block that is tagged until a safe-transition block is reached, wherein the non-transition region includes the at least one compressed block in the compressed image. The resolution of each compressed block in the non-transition region is reduced.

Abstract: The present invention provides an image processing device which is able to reconstruct a high-resolution (HR) picture from low-resolution (LR) pictures, by modifying instability in the pictures due to movement of hands in capturing the images, and also by preventing increase of a circuit size and processing amounts required for motion estimation between the pictures. In the image processing device, a motion estimation unit reads the LR pictures from a memory, and estimates respective motion vectors between the pictures. A stabilization parameter calculation unit calculates a stabilized global motion parameter based on the motion vector. A motion vector compensation unit stabilizes the motion vectors calculated by the motion estimation unit, using the stabilized global motion parameter. A picture integration unit combines (integrates) a target picture and reference pictures with sub-pixel precision, using the stabilized motion vectors.

Abstract: Systems and methods to selectively combine video frame image data are disclosed. First image data corresponding to a first video frame and second image data corresponding to a second video frame are received from an image sensor. The second image data is adjusted by at least partially compensating for offsets between portions of the first image data with respect to corresponding portions of the second image data to produce adjusted second image data. Combined image data corresponding to a combined video frame is generated by performing a hierarchical combining operation on the first image data and the adjusted second image data.

Abstract: An image processing apparatus and method are provided in which a reduced image is generated by removing some of a plurality of pixels of an original image. A pixel value of a pixel to be removed is reflected into a pixel value of an adjacent pixel and a reduced image is generated using the reflection result and the removal result.

Abstract: A captured image projection apparatus obtains projection parameters and image effect correction parameters from a moving image captured at a low resolution in a task different from a task in which capturing of a high-resolution still image is to be performed, when a change ceases to occur in the moving image and before the capturing of the high-resolution still image is started. The apparatus changes the scale of the obtained projection parameters from one for low-resolution image to one for high-resolution image. The apparatus applies an image conversion process and an image effect process to the captured high-resolution still image by using the projection parameters and image effect correction parameters obtained before the still image is captured. Thereby, the captured image projection apparatus shortens the time required from the capturing of the image to projection thereof.

Abstract: A multi-dimensional data enhancement system uses large kernel filtering, decimation, and interpolation, in multi-dimensions to enhance the multi-dimensional data in real-time. The multi-dimensional data enhancement system is capable of performing large kernel processing in real-time because the required processing overhead is significantly reduced. The reduction in processing overhead is achieved through the use of low pass filtering and decimation that reduces the amount of data that needs to be processed in order to generate an unsharp mask comprising low spatial frequencies that can be used to process the data in a more natural way.

Abstract: An image processing device and method decodes encoded image data, and converts a resolution of the decoded image data. The encoded image data is formed by encoding image data partitioned into blocks, each block including a plurality of pixels aligned in a matrix shape having horizontal rows and vertical columns. The image processing device includes a decoding section that decodes and outputs the decoded image data on a block-by-block basis, a block buffer section that temporarily stores, on a basis of the blocks, the decoded image data output, a horizontal resolution conversion section that converts the resolution of the decoded image data in the horizontal direction, a line buffer section that temporarily stores, on a basis of the vertical columns, the horizontal-resolution-converted image data, and a vertical resolution conversion section that converts the resolution of the horizontal-resolution-converted image data in the vertical direction.

Abstract: Disclosed is an image processing apparatus including a tone converting section to convert a tone level of a target pixel in multi-level image data based on a threshold value of the tone level so that the number of tone levels is reduced; a resolution converting section to output a pixel block according to the tone level, to generate image data with higher resolution; and an error diffusing section to diffuse an error; and wherein when the converted tone level is a predetermined value or lower, the resolution converting section refers to an output sequence category of a black pixel in a pixel block of a surrounding pixel, selects an output sequence pattern belonging to an output sequence category which allows a black pixel in a pixel block of the target pixel and the surrounding pixel to be concentrated, and outputs a pixel block corresponding to the selected pattern.

Abstract: A method for performing binary image reduction on binary image data includes receiving binary input image data; determining a conversion factor to scale (i) an input resolution to an output resolution and/or (ii) an input size to an output size; applying the conversion factor to the input image data to obtain intermediate data, where each intermediate data corresponds to at least one input pixel and at least a portion of another input pixel; obtaining a binary output image data comprising a plurality of output pixels by thresholding the corresponding intermediate data; determining an error value for each output pixel, the error value is a non-integer value obtained as a result of thresholding the intermediate data corresponding to the output pixel; and propagating the obtained error value to an adjacent output pixel in a scanline, where the output image data is scaled to the output resolution and/or the output size.

Abstract: A method includes inputting to-be-processed data including a set of first-N-dimensional-coordinate values in an N-dimensional space and first-sampling values, inputting search-pattern data including a set of second-N-dimensional-coordinate values in the N-dimensional space and second-sampling values, setting a set of virtual-corresponding points designated by third-N-dimensional-coordinate values, acquiring input patterns each including third-sampling values within a first range with reference to a corresponding virtual-corresponding point, acquiring search patterns each including fourth-sampling-values within a second range with reference to a corresponding second-N-dimensional-coordinate value of the second-N-dimensional-coordinate values in correspondence with each of the second-N-dimensional-coordinate values, detecting, from the search pattern data, an estimated pattern including one search pattern and having smaller differences with respect to the input patterns than other search patterns, setting sampl

Abstract: An image processing apparatus includes: a table generation unit that generates a table in which a coefficient set including predetermined weighting coefficients and pixels contained in a resolution converted image are related to each other on the basis of a size of an input image and a size of a resolution converted image; a coefficient selecting unit that selects a coefficient set to be applied for a calculation of a pixel value in the resolution converted image out of plural coefficient sets on the basis of a table generated by the table generation unit; and a pixel value calculating unit that calculates pixel values to be used in the resolution converted image resulting from the resolution conversion of the input image on the basis of the coefficient set selected by the coefficient selecting unit and plural pixel values contained in the input image.

Abstract: A resolution enhancement apparatus includes unit to acquire a first image, unit to perform edge emphasis on the first image to obtain a second image, unit to detect, using one of the first image and the second image, points corresponding to image regions at a precision of a sub-pixel unit as a unit smaller than an interval between neighboring pixels, unit to set each of second values of the second image as a sampling value of a luminance value at each point when one of the second pixels is used as a pixel of interest, unit to enlarge the first image into a high-resolution image including a larger number of third pixels than the first image, and unit to execute value conversion which adds or subtracts third values in the high-resolution image in a direction to reduce errors between the luminance values sampled at the points and the sampling values.

Abstract: An apparatus includes unit acquiring a target image as a target of resolution conversion, unit acquiring an additional image from the image source, unit estimating a corresponding point in the target image using corresponding point estimation methods, the corresponding point being associated with at least one pixel in the additional image to obtain corresponding points in the target image, unit setting a pixel value of each pixel included in the additional image as a sampling value for the corresponding point when each pixel is set as a target pixel, to obtain sampling values for pixels included in the additional image, and unit generating an image of a first resolution into which a second resolution of the target image is converted, using pixel values and positions of pixels included in the target image, and the sampling values and positions of the corresponding points.

Abstract: A device capable of providing an image quality that is close to a high resolution printing engine unit by low resolution printing engine unit. It includes a processing unit for comparing thresholds included in a high resolution dithering matrix with a pixel value included in each pixel of a low resolution input image and for outputting multi-level gray scale signal values. In addition, the processing unit includes a comparing unit for comparing a pixel value of each pixel of the low resolution input image with a plurality of thresholds included in the high resolution dithering matrix; an integrating unit for obtaining for each pixel the multi-level gray scale signal value by integrating a plurality of comparison results obtained for each pixel; and an output unit for outputting the multi-level gray scale signal values obtained by the integrating unit.

Abstract: A video signal processing apparatus, for achieving high resolution, with using a small number of frames, as an input videos signal, comprises: an input unit, into which a video frame is inputted; and a resolution converter unit for obtaining an output video frame by increasing a number of pixels building up the input video frame, wherein the resolution converter unit has a same-brightness direction estimation unit, which is configured to produce a sampling phase difference for each video data, by estimating a same-brightness direction for each video data on the input video frame, and the resolution converter unit conducts a high resolution process of video with using the sampling phase difference, which is produced by the same-brightness direction estimation unit.

Abstract: Restoration based super-resolution combines a video sequence of low-resolution noisy blurred images using maximum likelihood estimation without regularization to produce a higher resolution image or video sequence up to a maximum enhancement factor r for the given video sequence. The maximum r value for a given sequence of low-resolution images that guarantees each high-resolution bin (pixel) will have at least one assigned pixel value from a low-resolution image is calculated. With the knowledge of max r, the system can select an r less than or equal to max r and thus operate without regularization. System robustness is further enhanced by providing a modified MLE estimator that can perform super resolution for arbitrary real-valued r so that enhancement is not limited to integer values.

Abstract: A method for use in video compression is disclosed. In particular, the claimed invention relates to a method of more efficient fractional-pixel interpolation in two steps by a fixed filter (240) and an adaptive filter (250) for fractional-pixel motion compensation.

Abstract: A method for detecting displacement with sub-pixel accuracy includes the steps of: capturing a first array image and a second array image; interpolating the first array image to form a reference image; interpolating the second array image to form a comparison image; comparing the reference image with the comparison image so as to obtain a displacement. The present invention also provides an apparatus for detecting displacement with sub-pixel accuracy.

Abstract: This invention relates to an image processing system and method, the image processing system comprising an image capturing unit; a resolution conversion unit; a detection unit; an image conversion processing unit; an image compression unit, and a memory unit, the processing method comprising the steps of: capturing a first image data; transferring the first image data to the resolution conversion unit and the image conversion processing unit; converting the first image data into a second image data; detecting a plurality of position data from the second image data according to at least one detection rule; generating a third image data by mapping the first image data according to a mapping table; and compressing the third image data. This invention has image encryption function.

Abstract: A method, system and devices for optimizing and/or maximizing the perceived autostereoscopic effect for any chosen combination of photographic or electronic recording materials, recording methods and parameters, and imaging methods and parameters. The method first determines the parameters characterizing the optimum autostereoscopic effect of the combination materials etc. (the front pixel spread and the back pixel spread), then specifies how to apply these parameters to the arrangement of image acquisition devices, or the production of images by computational means, to produce a final image with optimal autostereoscopic properties. Features of the present invention provide for image acquisition either occurring in the real world (via digital or analog means) or within a computer graphic environment (or a blend of both), by way of specific methods necessary for successfully traveling through a variety of different mathematical spaces to arrive at a common space.

Abstract: A method for producing a scaled output image by manipulating image data from an input image is disclosed. The scaled output image can have non-uniformly scaled regions and a uniformly scaled region. The method includes an operation that defines pixel locations within the uniformly scaled region of the output image based on uniformly scaling a portion of the input image. There is also an operation that determines a non-uniform scale factor. The non-uniform scale factor is used to define a gap between pixel locations within the non-uniformly scaled regions. Another operation determines error correction values within the non-uniformly scaled regions. The method can also include an operation that defines pixel locations for the non-uniformly scaled region of the output image based on increments of the non-uniform scale factor and error correction values.

Abstract: Methods and apparatus for reconstructing a multiple resolution images of an object are provided. The method includes reconstructing a first three-dimensional image at a first resolution, determining at least one volume of interest in the generated image, and reconstructing a second three-dimensional image of the determined at least one volume of interest at a second resolution, the second resolution being higher than the first resolution such that a quantification of image structures is facilitated.

Abstract: The invention relates to a method for enhancing color resolution and particularly for obtaining bit resolution in a display using a bits per pixel system frame buffer. The invention uses logic to create intermediate pixel values between bpp color values. The invention proposes to store the image in the system frame buffer always with a fixed number of bits and using Error Diffusion Dither. Then a postprocessing filter is provided to provide the enhanced color resolution using a greater number of bits per pixel as accepted by the display means. The invention also relates to a device exploiting the method.

Abstract: The image processor includes an image filter acquiring unit, a reduced image average value calculating unit, a normalization parameter setting unit, an original image average value calculating unit, an original image reflectance acquiring unit, a normalizing unit, and a correcting unit. The image filter acquiring unit generates either one of the original image filter and the reduced image filter based on the other one of the original image filter and the reduced image filter. The reduced image average value calculating unit calculates an average peripheral value for each pixel in the reduced image using the reduced image filter. The normalization parameter setting unit tabulates frequencies of each reflectance value within the entire range of reflectance values of the reduced image and sets a normalization parameter. The normalizing unit normalizes the reflectance value for each pixel in the original image based on the normalization parameter.

Abstract: The invention relates to techniques of up-scaling an input image represented by an input video signal in an image up-scaling system, especially to a method and an image up-scaling system for up-scaling an input image represented by an input video signal, the method comprising steps of receiving and processing the input video signal in an up-scaling device (21, 23), providing a linear up-scaled video signal generated by the up-scaling device (21, 23) to a signal combining device (24), receiving and processing the input video signal in a harmonics generation device (22, 25, 26, . . . , 30), generating an up-scaled output image represented by an up-scaled output video signal by combing the up-scaled video signal with a higher harmonics video output signal provided by the harmonics generation device (22, 25, 26, . . . , 30) in the signal combining device (24), and providing the up-scaled output video signal to an output of the combining device (24).

Abstract: A method for processing remotely acquired imagery includes obtaining imagery data defining a first image of a panchromatic image type, the first image having a first spatial resolution, and obtaining imagery data defining a second image of a multi-spectral image type, the second image having a second spatial resolution lower than the first spatial resolution. The method also includes obtaining a mapping function specifying a position of pixels in the first image with respect to pixels in the second image and adapting the mapping function to a high common spatial resolution higher than the second spatial resolution. The method further includes generating a third set of imagery data defining a third image of a panchromatic type based on the first set of imagery data and the adapted mapping function and having the high common spatial resolution and adjusting the mapping function based on a first difference between the first and the third images at the high common spatial resolution.

Abstract: Disclosed herein is a device for processing a moving image, the device including: a selection unit which selects an image group composed of a plurality of still images including a target image from the moving image, according to specified information for specifying the target image among the plurality of still images included in the moving image; an acquisition unit which performs an acquisition process of acquiring the plurality of still images included in the image group from the moving image; and a synthesis unit which performs a synthesis process of synthesizing the plurality of acquired still images and generating a high-resolution image of the target image having a pixel density higher than that of the target image, wherein the selection unit has a function for performing selection by a first mode for selecting the target image and a still image which is located behind the target image in time-series order.

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: Enlarging a digital image. In one example embodiment, a method for enlarging a digital image includes various acts. First, an enlargement factor ? is selected for an input image. Next, a pixel in the input image is selected. Then, a supporting window is placed over the input image. Next, a ?×? block of output pixels is produced. Each pixel in the block of output pixels is produced using a set of ?2 distinct weight matrices. Then, the block of output pixels is assembled into an output image. Next, the acts of selecting a pixel, placing the supporting window, producing a block of output pixels, and assembling the block of output pixels into the output image are repeated for each of the remaining pixels in the input image.

Abstract: A multivalued original image is converted to a high-resolution image by interpolation processing and the resultant high-resolution image is subjected to binarization processing to obtain a high-resolution binarized image. This is followed by extraction of a plurality of text regions for every text color, as well as position information and text color information of each text region. First compressed data of the text regions is generated by applying compression processing to the high-resolution binarized images at the positions corresponding to the text regions extracted. Second compressed data is generated by filling text regions in the original image with a prescribed pixel value and applying compression processing to the image obtained by such filling. Compressed image data of the original image is then generated, this data including the first compressed data and the second compressed data as well as the position information and color information of each text region.

Abstract: A method for resizing image data from a first size image to a second size image is disclosed. In one operation of the method, a scale factor is determined based on a number of gaps between pixels in the first size image and a number of gaps between pixels in the second size image. In another operation, the scale factor is applied to the first size image to generate a representation of the second size image data. In yet another operation a remainder representing an offset from a last pixel of the first size image data and a last pixel from the representation of the second size image data is determined. With the offset determined, another operation offsets each end pixel of a line of the second size image data by a portion of the remainder.

Abstract: In an image processing apparatus, the amount of motion between a low-resolution image as a datum image and each of N low-resolution images is detected and, based on the detected amounts of motion, the datum image, and M consulted images (N>M?1) selected out of the N low-resolution images, a high-resolution image is generated. An image evaluator, which selects the consulted images, takes each of the N low-resolution images as an evaluated image and arranges, based on the amounts of motion, the datum image and the evaluated images in a common coordinate system. Based on a pixel position on the datum image in the common coordinate system, a datum position in the common coordinate system is set.

Abstract: The invention provides a method and apparatus for fast volume rendering of 3D ultrasound image, comprising a dividing step, a calculating step, a determining step, a morphological closing operation step and a filling step, wherein each flat grid can be entirely filled by obtaining gray-scale values for all pixels inside the grid through interpolating; for the non-flat grid, the steps of dividing, calculating, determining and filling are performed repeatedly until the non-flat grid is subdivided into atomic grids to calculate gray-scale values for remaining pixels by projection. As the method can be finished in the rear end, no difficulty occurs in the implementation, and no process for being adapted to previous frames is required. Therefore, the method can improve the rendering speed effectively without degrading the quality of image to put 3D ultrasound imaging to the best use.

Abstract: In accordance with one or more aspects, a variable resolution image is displayed at an initial resolution. The variable resolution image has multiple portions, at least two of which have different resolutions. A request to display one of the multiple portions of the variable resolution image at a higher resolution is received, and a check is made as to whether a higher resolution version of the one portion is available. The higher resolution version of the one portion is displayed if available, otherwise the one portion at the initial resolution is displayed.

Abstract: Sub pixel image alignment includes mapping first pixels from a first image and second pixels from a second image to a coordinate system and applying one or more sub-pixel shifts to the mapped first pixels. For each sub-pixel shift, an overall energy is calculated and is based on a plurality of gradients that represent changes in a channel value among the shifted first pixels and the mapped second pixels. The sub-pixel alignment further includes determining the sub-pixel shift that provides the lowest overall energy.

Abstract: An image processing apparatus includes a determining unit that determines whether image capturing conditions concerning super-resolution processing are satisfied for each piece of image data, and an adding unit that adds data corresponding to a result of determination made by the determining unit to each piece of the image data.

Abstract: A method of preparing a document for printing may include determining a preferred image resolution for an image on a document. An electronic file may be received. The electronic file may comprise data representing a first embedded image having a nominal resolution. A job may be received. The job may comprise one or more operations to be performed on the electronic file. A computing device may determine an effective resolution for the first embedded image based on the nominal resolution and the one or more operations. It is determined whether the effective resolution for the first embedded image is greater than the preferred image resolution. The first embedded image may be downsampled based on a scaling factor. A printing device may process the job using the downsampled first embedded image.

Abstract: The present invention provides a fast method of super-resolution processing which realizes speedup of the high-speed super-resolution processing by speeding up the calculations of an evaluation function and the differential of the evaluation function with respect to a high-resolution image in a reconstruction-based super-resolution processing. A fast method of super-resolution processing for speeding up a super-resolution processing that estimates a high-resolution image from multiple low-resolution images with displacements, the method characterized in that an evaluation function and a differential of the evaluation function with respect to the high-resolution image are calculated by a combination of basic image operations.

Abstract: An image resolution increasing method include setting a first block which is included in a low resolution image and is located at a first position, and a second block which is included in a high resolution image and is located at a second position, and setting, as an increasing resolution block of the first block, a third block expressed by a second vector obtained by projecting a first vector representing the second block to a linear manifold as a set of vectors that indicate fourth blocks of the second block size, the fourth blocks becoming the first block due to reduced resolution, in a Euclidean space having, as the number of dimensions, a product of the number of pixels arranged vertically in the second block size and the number of pixels arranged horizontally in the second block size.

Abstract: A disclosed image forming apparatus includes: an image data input unit inputting image data; an image data storage unit storing the image data; a storage method change unit changing a storage method of the image data; an image data output unit outputting the image data; an available capacity detection unit detecting available capacity of the image data storage unit; an available capacity judgment unit judging whether the available capacity is not more than a predetermined value; and a storage method selection unit prompting selection of a storage method performed by the image data storage unit. When the available capacity is judged to be not more than the predetermined value, the storage method selection unit prompts the selection of a storage method, the storage method change unit changes the storage method of the image data, and the image data output unit outputs image data.

Abstract: Methods, machines, and machine-readable media for enhancing image resolution are described. In one aspect, a respective motion map is computed for each pairing of a reference image and a respective image neighboring the reference image in a sequence of base images. Each motion map includes a set of motion vectors mapping reference image pixels to respective neighboring image pixels. Respective regions of a target image are assigned to motion classes based on the computed motion maps. The target image has a target resolution level and the base images have a base resolution level equal to or lower than the target resolution level. Pixel values for the target image are computed based on corresponding pixel value contributions from the motion-compensated neighboring base images selected in accordance with the motion classes assigned to the target image regions.

Abstract: An apparatus includes a first-acquisition unit acquiring, from target image data, an input image pattern including pixel values within a predetermined range with reference to each of ideal corresponding points, a second-acquisition unit acquiring, as candidate image patterns, from search-image-pattern data, a first candidate image pattern including pixel values within the predetermined range, a finding unit finding, from the search-image-pattern data, an estimated image pattern as a second candidate image pattern of the candidate image patterns which has a smaller difference from the input image pattern than other candidate image patterns, a first setting unit setting pixel values of positions corresponding to the ideal corresponding points in the estimated image pattern as pixel values at the ideal corresponding points, and a conversion unit converting a resolution of the target-image data using the N-dimensional coordinate values and the pixel values corresponding to the N-dimensional coordinate values.

Abstract: Systems and methods image zooming with intensity preservation is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of minimizing energy levels over a set of high-resolution image pixels of a high-resolution image via total variational filtering to obtain the high-resolution image from at least a portion of a low-resolution image; the low-resolution image having a first energy level, the high resolution image having a second energy level, and the first energy level to be substantially similar in value as the second energy level. One embodiment can include, determining a pixel value of a particular high-resolution image pixel based on the pixel values of a plurality of pixels of the at least a portion of the low-resolution image and the pixel values of the high-resolution image pixels not including the particular high-resolution image pixel.

Abstract: An original image is converted into a reduced image, based on which a peripheral average luminance image is obtained through a filtering processing. A Retinex image having a smaller size than the original image is obtained from the peripheral average luminance image and the reduced image. The Retinex image is enlarged, and an output image is generated based on the enlarged Retinex image and the original image.

Abstract: Methods, systems, and apparatus including computer program products for recognizing text in images are provided. In one implementation, a computer-implemented method for recognizing text in an image is provided. The method includes receiving a plurality of images. The method also includes processing the images to detect a corresponding set of regions of the images, each image having a region corresponding to each other image region, as potentially containing text. The method further includes combining the regions to generate an enhanced region image and performing optical character recognition on the enhanced region image.

Abstract: An image processing circuit includes a processor that receives an encoded portion of a first version of an image. The processor decodes this encoded portion directly into a decoded portion of a second version of the image, the second version having a resolution that is different than the resolution of the first version. Therefore, such an image processing circuit can decode an encoded hi-res version of an image directly into a decoded lo-res version of the image. Alternatively, the image processing circuit includes a processor that modifies a motion vector associated with a portion of a first version of a first image. The processor then identifies a portion of a second image to which the modified motion vector points, the second image having a different resolution than the first version of the first image.

Abstract: Non integer scaling of images to reduce artifacts is presented herein. One embodiment includes determining a scaling resolution based on a pixel resolution of the image and a pixel resolution of an output device (i.e., factors of the scaling resolution). The image is converted to the scaling resolution to change (e.g., increase) the pixels of the image by the first factor. A grid is generated to scale the converted image. The grid has a number of sections defined according to the second factor times the pixel resolution of an output device. The converted image is sectioned according to the grid. Each section of the grid includes an integer number of pixels of the converted image. The color values of the pixels of the converted image are averaged within each section of the grid to compute a single color value for each section of the grid and scale the image.