Abstract: A color space converter converts data points from one color space to another color space using a lookup table. Color space converters may be used in any device that involves image processing, such as displays and printers. An interface receives an input value in a first color space. A controller access a lookup table stored in memory to determine an upper bound and a lower bound of a subset of the color space. An output value is interpolated between the upper bound and the lower bound using interpolation values. The interpolation values of the last subset in any dimension of the color space are modified by a scale factor to approximate ideal values.

Abstract: A resolution of a low resolution depth image is increased by applying joint geodesic upsampling to a high resolution image to obtain a geodesic distance map. Depths in the low resolution depth image are interpolated using the geodesic distance map to obtain a high resolution depth image. The high resolution image can be a gray scale or color image, or a binary boundary map. The low resolution depth image can be acquired by any type of depth sensor.

Abstract: The prior art has such a problem that image quality degrades because dots are conspicuous in the case where the size of each dot is not so small and the black or white dots are regularly aligned, in particular, in a bright part close to white or in a dark part close to black. It is determined whether a black or white pixel exists at a point-symmetric position with respect to a notice pixel using pattern matching for a binarized image and in the case where a pixel exists at the point-symmetric position, the notice pixel is replaced with a specific output pattern.

Abstract: Provided are an apparatus and method of obtaining a high resolution image using multi-band combination filters. The apparatus includes a high frequency extraction unit to extract a high frequency image from a low resolution input image through filtering operations performed in parallel, a high frequency expansion unit to expand the high frequency image to generate an expanded high frequency image, an image expansion unit to expand the low resolution input image to generate an expanded input image, and an image combination unit to combine the expanded high frequency image and the expanded input image.

Abstract: An image processing apparatus and image processing method, which enable suppression of coloring that occurs in image recovery processing for a RAW image are disclosed. Pixel interpolation processing is executed for a predetermined reference color component of the RAW image. For each color component other than the reference color component, a first color difference is obtained using a pixel value of the color component and a corresponding pixel value of the reference color component after the pixel interpolation processing. After applying the image recovery processing to each color component, a second color difference is obtained in a similar manner to the first color difference, and a pixel value is corrected according to the difference between the first and second color differences determined before and after the image recovery processing.

Abstract: An image display apparatus that displays an image on the basis of input image signals corresponding to sub-pixels forming one pixel includes a shift-amount storing unit that stores shift amounts of display positions of the sub-pixels relative to given reference positions in a display image, an image-signal correcting unit that corrects the input image signals according to the shift amounts, and an image display unit that displays an image on the basis of the image signals corrected by the image-signal correcting unit.

Abstract: A method and apparatus for enhancing the resolution of three-dimensional imagery data are disclosed. The method includes registering a frame of the three-dimensional imagery data with a template frame; and temporally averaging the registered frame with the template frame. The apparatus includes a program storage medium encoded with instructions that, when executed by a computing apparatus, performs the method and an apparatus programmed to perform the method.

Abstract: Systems, methods, and other embodiments associated with image scaling are described. According to one embodiment, a method acquiring a set of amplitude values describing pixels in an image. Image scaling is performed on the image. A target pixel is identified from the set of pixels. A preceding pixel is identified to the target pixel. An amplitude range of amplitudes is defined between the amplitude of the preceding pixel and the target pixel. It is determined whether the interpolation between the preceding pixel and target pixel will result in an interpolated pixel having an interpolated amplitude outside of the amplitude range. Based on this determination, an interpolation slope is selected that reduces overshoot or undershoot in interpolation pixels generated between the target pixel and the preceding pixel.

Abstract: An image processing apparatus for processing image data by a plurality of pipeline-connected processing modules is provided. The apparatus includes a first pipeline processing unit configured to include a plurality of processing modules including a processing module which processes image data for every first size; and a second pipeline processing unit configured to be branched from the first pipeline processing unit and include a plurality of processing modules including a processing module which processes image data for every second size different from the first size. The second pipeline processing unit includes, at a start, a change unit configured to acquire partial image data of the first size from the first pipeline processing unit and change the partial image data of the first size into partial image data of the second size.

Abstract: A display device includes an image signal processing unit to output a high-speed image signal with the aid of an image interpolation unit outputting a low-speed image signal. The display device includes an image signal processing unit to receive a primitive image signal having a first frequency and to output a 4× image signal having a second frequency. The second frequency is four times the first frequency. The display device includes a display panel displaying an image corresponding to the 4× image signal. The primitive image signal includes an (n?1)-th frame (where n is a natural number) and an n-th frame. The image signal processing unit includes a first image interpolation unit and second image interpolation unit, which receive the (n?1)-th frame and the n-th frame and output a 2× image signal including at least one interpolated frame.

Abstract: A method for the alignment of pairs of complex images of a region, such as may be produced by separate passes of a synthetic aperture radar, is disclosed. The method selects a subset of each image in the form of a plurality of tiles, and calculates a correlation value between corresponding pairs of tiles. Shifts in x and y for each pair where the correlation value exceeds a threshold are then used to calculate values for overall shift, stretch and shear to be applied to one of the images to align it with the other. An iterative least squares approach may be used. As both phase and amplitude information is used in the correlation the technique is suitable for aligning images having little intensity variation. The invention may be used to align images prior to coherent change detection analysis of the images.

Abstract: An image interpolation method and an image interpolation device and an image apparatus using the image interpolation method are provided. The image interpolation method uses a probabilistic neural network model to perform an adaptive interpolation on an image. The image interpolation method includes the following steps. Firstly, plural reference points neighboring an interpolation point are selected. Then, an anisotropic Gaussian function value of each reference point of the plural reference points is obtained according to an edge direction angle, a horizontal smoothing parameter, a vertical smoothing parameter and a distance between each reference point and the interpolation point. Afterwards, a statistics method is performed to integrate and compute the anisotropic Gaussian function values of the plural reference points, thereby obtaining an interpolation value of the interpolation point.

Abstract: An image processing apparatus includes a frame memory, a motion vector detector, a screen edge detector and an interpolation frame generator. The frame memory frame-delays an input signal and outputs the input signal as a delayed input signal. The motion vector detector detects a motion vector between frames based on the input signal and the delayed input signal. The screen edge detector detects a pixel corresponding to a screen edge in the input signal. The interpolation frame generator generates an interpolation frame from the input signal and delayed input signal based on the motion vector and the pixel corresponding to the screen edge. The interpolation frame generator generates the interpolation frame using the pixel corresponding to the screen edge or the pixel inside relative to the pixel corresponding to the screen edge when the motion vector points a pixel outside relative to the pixel corresponding to the screen edge.

Abstract: Super-resolution processing is regarded as a kind of intersample interpolation process and performed by using a linear interpolation filter designed according to sampled-data control theory. In an error-system model used in the process of designing the filter, a pre-filter is disposed before a sampler and a post-filter is disposed after the zero-order hold in a signal restoration system. At least either one of the characteristic Q(s) of the pre-filter or the characteristic P(s) of the post-filter is designed to be a low-pass characteristic, whereby the gain of the characteristic K(z) of a digital filter within a middle-to-high frequency range is raised. Raising the gain makes jaggies more prominent. To reduce this effect, in an actual processing system, the image to be processed is passed through a low-pass filter to reduce high-frequency components before the linear interpolation is performed.

Abstract: A method of enhancing spatial resolution of an image. An image is accessed. The image comprises a set of confident pixels and an unconfident pixel positioned adjacent to each confident pixel of the set of confident pixels. The set of confident pixels comprises four or fewer pixels and corresponds to a plurality of known depth values, the unconfident pixel comprises an unknown depth value. A best depth hypothesis for the unconfident pixel is determined using a filter module in which the plurality of known depth values are used as depth hypotheses. The unconfident pixel is updated as a confident pixel using the best depth hypothesis.

Abstract: Systems and methods are provided for detecting sharpness among video fields. In certain implementations of the systems and methods, a plurality of video fields is received and a sharpness metric for each of the plurality of video fields is determined. The sharpness metric of a first video field is compared to the sharpness metric of a second video field among the plurality of video fields and a video field source of the first video field and the second video field is determined based on the comparison.

Abstract: When first input image and second input image are input to generate an interpolated image, based on search basis position of the interpolated image, correlation between a block based on the first image as reference and a block based on the second input image as reference is acquired to calculate a motion vector.

Abstract: An image processor includes generates a content adaptive kernel from an image block with noise of a luminance component signal with a low resolution. The content adaptive kernel is convolved with the luminance component signal. A noise signal and an extracted texture which excludes noise are generated. The luminance component signal is filtered as function of the noise signal to generate an enhanced luminance component signal. Horizontal and vertical scaling is performed on the enhanced luminance component signal, the extracted texture, and the luminance component signal, with the luminance component signal adaptively scaled as a function of the extracted texture. The horizontally and vertically scaled enhanced luminance component signal, extracted texture and luminance component signal are then combined to generate an output luminance component signal with a high resolution.

Abstract: A global image adjustment, such as dynamic range adjustment is established based on image characteristics. The image adjustment is based more heavily on pixel values in image areas identified as being important by one or more saliency mapping algorithms. In one application to dynamic range adjustment, a saliency map is applied to create a weighed histogram and a transformation is determined from the weighted histogram. Artifacts typical of local adjustment schemes may be avoided.

Abstract: When a single pixel is displayed by four color sub-pixels, or R (red), G (green), B (blue), and G, in a Bayer array, this invention sets the scaling rate of a scaling process to 3/2 times when executing the scaling process on image data having three color components, or R, G, and B, and then executes a color conversion process for finding four color components from the three color components; after this, a decimation process for reducing the number of pixels is carried out. Setting the scaling rate of the scaling process to an integer proportion, moirés caused by the scaling process can be made less noticeable. Note that it is desirable for the scaling rate of the scaling process to be close to ?2 and for the denominator of the integer proportion to be lower.

Abstract: This invention involves time domain interpolation of video signals. In order to adjust the presentation speed of a video data stream, a plurality of video frames is temporarily stored in a frame buffer, and the video frame to be displayed is generated by time domain interpolation between a plurality of the stored frames.

Abstract: An image data processing apparatus includes a data size conversion device that changes a data size of an image data at an optional ratio, the image data has a plurality of pixels each of which includes any one of a plurality of color components, and the plurality of color components being arranged in a specific order. The data size conversion device newly calculates a value of color component of each pixel after changing the data size based upon values of color components of a plurality of same color pixels before changing the data size, while maintaining the order of arrangement of the plurality of color components.

Abstract: An electronic device may have a camera module and a host subsystem. The camera module may include a camera sensor and associated image processing and data formatting circuitry. The image processing and data formatting circuitry may include an image processor that produces unscaled images frames using data from the camera sensor. Unscaled image frames may be processed in multiple paths between the image processor and the host subsystem such as a path that includes an image compression circuit block, a parallel path that includes a preview scaler, and a parallel path that includes a multiframe scaler and a frame buffer and multiframe image processor circuitry. The multiframe scaler may scale unscaled frames for buffering and processing by the frame buffer and multiframe image processor circuitry to produce analysis results. The analysis results may be appended to compressed unscaled image frames sent to the host subsystem.

Abstract: A method for calculating pixel values of interpolated pixel positions located between integer pixel positions in frames of a video picture by a predefined filter operation, the method including: storing the pixel values of the integer pixel position; determining to which of a number of predefined resolution formats the video picture is adapted; defining a fixed width (W) and fixed height value (H) for the frames corresponding to a resolution format determined by the determining; loading a first set of memory addresses for the memory of the video processing apparatus corresponding to a plurality of the pixel values of integer pixel positions; and executing a filter operation on the plurality of the pixel values of integer pixel positions and calculating a plurality of the pixel values of the interpolated pixel positions.

Abstract: Methods and apparatuses use a pixel-adaptive interpolation algorithm to provide image upscaling. For each pixel location, the algorithm determines whether to use a high quality scaler algorithm (such as a polyphase filter, for example) or a directional interpolator to determine the pixel value. The determination of the appropriate interpolation algorithm is based on whether the pixel is determined to be an edge. If the pixel is determined to be an edge, the pixel-adaptive interpolation algorithm may use the directional interpolator to process the pixel; otherwise, the pixel is processed using a scaler algorithm.

Abstract: The present invention relates to an image processing device and method enabling noise removal to be performed according to images and bit rates. A low-pass filter setting unit 93 sets, from filter coefficients stored in a built-in filter coefficient memory 94, a filter coefficient corresponding to intra prediction mode information and a quantization parameter. A neighboring image setting unit 81 uses the filter coefficient set by the low-pass filter setting unit 93 to subject neighboring pixel values of a current block from frame memory 72 to filtering processing. A prediction image generating unit 82 performs intra prediction using the neighboring pixel values subjected to filtering processing, from the neighboring image setting unit 81, and generates a prediction image. The present invention can be applied to an image encoding device which encodes with the H.264/AVC format, for example.

Abstract: A frame image is input. First to Nth intermediate images are generated from the frame image. First to Nth sub-filters that have been generated by dividing an original filter are held, along with relative position information of pixels referred to by each of the sub-filters. Pixel values are collected of pixels in an ith intermediate range (1?i?N). N sub-frame images are created by obtaining a pixel value of a pixel of interest in an ith sub-frame image from a calculation value obtained using the ith sub-filter with respect to the collected pixel values.

Abstract: A method for detecting and removing scrolling texts comprising a step of using an adaptive transient difference processing of video communication to conduct frame calculation, wherein the adaptive transient difference processing takes first N frames fjkt?N and a current frame fjkt, and subtracts them to obtain a frame difference; and if the frame difference is greater than a threshold value, it is determined that the current frame fjkt has scrolling texts; and interpolates the first N frames before the current position of the scrolling texts to replace the current frame fjkt to achieve the goal of hiding the scrolling texts during video communication to enhance the viewing effect.

Abstract: Devices and methods for dynamic dithering are provided. For example, an electronic device according to an embodiment may include image processing circuitry that operates on higher-bit-depth image data and a display panel that displays lower-bit-depth image data. To obtain the lower-bit-depth image data, the image processing circuitry may perform dynamic dithering on the higher-bit-depth image data. Such dynamic dithering may involve dithering frames of the higher-bit-depth image data based at least in part on respective rounding threshold values.

Abstract: Methods and apparatus for deinterlacing an interlaced image or for upsampling an image. In one embodiment, an Edge Aware Deinterlacing system may identify edge areas and non-edge areas of an image in order to apply one interpolation method to pixels within the edge areas and a different interpolation method to pixels within the non-edge areas.

Abstract: An image processing apparatus comprises a processing unit for computing displacement amounts between a basis image and each reference image, a processing unit for generating multiple deformed images based on the displacement amounts, the basis image and multiple reference images, a processing unit for setting a threshold of a parameter, a processing unit for selecting image information from the reference image by threshold, a processing unit for generating composed images and weighted images based on the basis image, the displacement amounts and the image information, a processing unit for generating high-resolution grid images by dividing the composed image by the weighted image, a processing unit for generating simplified interpolation images based on high-resolution grid images, a processing unit for generating an image characteristic amount, a display unit for displaying the image characteristic amount and a control unit that controls the necessary processing as necessary.

Abstract: To detect non-uniform spatial scaling of an image in the horizontal direction (for example in 4:3 to 16:9 aspect ratio conversion) the image is divided into regions, for example a middle region and two side regions. A measure of horizontal spatial frequency energy is taken in each region by for example subtracting the values of horizontally adjacent pixels and a comparison is made between measures of horizontal spatial frequency energy for the different regions.

Abstract: A set of even interpolated sub-pixels is formed based on a pixel window and a tap coefficient register having a tap coefficient set, the pixel window is shifted and, applying the tap coefficient register a set of odd interpolated pixels is formed. The set of even interpolated sub-pixels and the set of odd interpolated sub-pixels are accumulated, repeatedly, until a termination condition is let. In the accumulating, the tap coefficient register is updated with another tap coefficient set, the pixel window is shifted, and the even interpolated pixels are incremented, the pixel window is then shifted again and the odd interpolated pixels are incremented.

Abstract: A method for performing registration of multispectral retinal images. Corresponding cross-over points and bifurcation points of blood vessel in an eye are identified in a fixed image and in an offset image. The relative displacement of each point, between the images, is calculated. Based on these relative displacements, the offset of each pixel in the offset image is interpolated and the offset image is transformed into a corrected (distorted) image. Such an image can be used to assess the health of the eye. Further, a fixed image and a offset image of an eye are divided in a tile pattern. The relative displacement of each tile of the offset image with respect to the corresponding tile in the fixed image is calculated. An offset for each tile is calculated and the offset image is corrected as a function of those offsets.

Abstract: A method and apparatus for performing pull frame interpolation are provided. Pull frame interpolation may include identifying a plurality of input video frames, generating a plurality of motion vectors indicating motion from a first frame of the plurality of input video frames to a second frame of the plurality of input video frames, identifying an interpolation point between the first frame and the second frame, generating a plurality of candidate interpolation motion vectors indicating motion from the first frame to the interpolation point and from the second frame to the interpolation point based on the plurality of motion vectors, selecting an interpolation motion vector from the plurality of candidate interpolation motion vectors based on a metric, and generating an interpolated frame at the interpolation point based on the selected interpolation motion vector.

Abstract: The invention relates to a method for generating images having a reduced error rate, high resolution and improved contrast from image sequences containing images having lower resolutions, which can be obtained from an image sensor having adjustable recording parameters. According to the invention, the image sequences of the images (K, R) having low resolutions are subjected to a combination of super-resolution processing (SR) and high dynamic range reconstruction processing (HDR) in order to obtain images having a reduced error rate, high resolution and improved contrast on the basis of redundant and complementary image information contained in the images having low resolution.

Abstract: A method of image processing comprising receiving a plurality of interpolated images, interpolated from two adjacent camera positions having different image planes, applying a transformation to each interpolated image to a respective one of a plurality intermediate image planes, wherein each intermediate image plane is oriented intermediate to the image planes of the two adjacent camera positions depending on a viewing angle of that interpolated image relative to the adjacent camera positions. Also an integrated circuit or processor, an apparatus for capturing images and an apparatus for displaying images.

Abstract: Methods and systems of editing a set of images depicting a subject displayed at a plurality of rotational angles is disclosed, comprising defining degrees of angular rotation of the subject about a rotational axis; selecting a subset of images based on the degrees of angular rotation of the subject depicted in the subset; determining image transformation values for the subset; determining interpolated image transformation values by interpolating the image transformation values for at least one of the images in the image set based on the image transformation values for the subset; and transforming at least one of the images in the set based on the image transformation values, and/or the interpolated image transformation values. The methods and systems may further comprise transforming the other images in the set based on both the image transformation values and the interpolated image transformation values, so they appear more precisely centered.

Abstract: A direction-adaptive image upsampling system and method using double interpolation is disclosed. Each of double interpolation (DI) units with different interpolation functions receives an input image and generates a corresponding double-interpolated image and an associated double-interpolated difference. A decision unit receives the double-interpolated differences from the DI units for deciding the DI unit that has an optimal interpolation around a pixel under process. An adaptive selector selects the double-interpolated image associated with the DI unit having the optimal interpolation as an output image.

Abstract: A method for generating a final depth information related map includes the following steps: receiving a coarse depth information related map, wherein a resolution of the coarse depth information related map is smaller than a resolution of the final depth information related map; and outputting the final depth information related map reconstructed from the coarse depth information related map by receiving an input data and performing a guided interpolation operation upon the coarse depth information related map according to the input data.

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: Spatial or temporal interpolation may be performed upon source video content to create interpolated video content. A video signal including the interpolated video content and non-interpolated video content (e.g. the source video content) may be generated. At least one indicator for distinguishing the non-interpolated video content from the interpolated video content may also be generated. The video signal and indicator(s) may be passed from a video source device to a video sink device. The received indicator(s) may be used to distinguish the non-interpolated video content from the interpolated video content in the received video signal. The non-interpolated video content may be used to “redo” the interpolation or may be recorded to a storage medium.

Abstract: Systems and methods are provided for upscaling a digital image. A digital image to be upscaled is accessed, where the digital image comprises a plurality of pixel values. A first half pixel value is computed for a first point in the digital image based on a plurality of pixel values of the digital image surrounding the first point and an activity level. A second half pixel value is computed for a second point in the digital image, and an interpolated pixel of an upscaled version of the digital image is determined using a plurality of the pixel values, the first half pixel value, and the second half pixel value.

Abstract: An image display device includes a creation unit configured to calculate histogram data before correction that indicates a luminance distribution from an input image data; a clip processing unit configured to set a value of the number of pixels of a tone to an upper threshold when the tone among tones of luminance values in the histogram data; an addition unit configured to add a value of the number of pixels based on a difference between the upper threshold and a value of the number of pixels for each tone that is set to the upper threshold in the histogram data before correction to a value of the number of pixels of at least a part of tones that are present between a first luminance value and a second luminance value and to output obtained corrected histogram data; and a correction unit configured to correct the input image data.

Abstract: A color filter array of an image sensor is disclosed. The color filter array includes a first filter to transmit wavelengths of a first region in a visible light region, a second filter to transmit wavelengths of a second region in the visible light region, a third filter to transmit wavelengths of a third region in the visible light region, and a mixed filter to transmit wavelengths of at least one of the first region, the second region and the third region, and wavelengths of an infrared region at the same time.

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: The present invention relates to an image interpolation method based on matrix and an image processing system. The image processing system first determines a gradient direction of an image region formed by a pixel dot array containing an interpolation point, and then based on the gradient direction and a position of the interpolation point, determines a triangle for interpolation in the image region formed with the pixel dot array, and finally, based on pixel values of pixel dots corresponding to three vertexes of the determined triangle and a distance from the interpolation point to a vertex of the triangle, calculates a pixel value of the interpolation point. Thus, the problem of edge jag or sawteeth of details in an oblique direction of a zoomed image is effectively solved, and a high-quality image is obtained. Furthermore, for the method the calculation is simple, and the computation load is light.

Abstract: Provided is an image processing device which enables image display that takes full advantage of a color reproduction performance of a panel without providing a viewer with a feeling of strangeness. An image processing device includes: a color gamut conversion processor configured to convert inputted data into RGB data according to a liquid crystal panel; a weighting factor calculator configured to calculate a weighting factor; a first post-color-gamut-conversion data weighting processor configured to perform weighting processing to the RGB data; an inputted data weighting processor configured to perform weighting processing to the inputted data; and an output adder configured to add data after the weighting processing to generate RGB data to be supplied to the liquid crystal panel.

Abstract: A method of generating an initial high resolution frame includes receiving at least two low resolution frames of an image at a processor, wherein the low resolution frames have a resolution lower than the high resolution frame, using one or more low resolution frames to interpolate a high resolution frame using an interpretive scaler, wherein the interpolation adapts to the contours of the image, and using the initial high resolution frame and the low resolution frame in an iterative super resolution process.

Abstract: An interpolation method, applied to image pictures, for interpolating at least one pixel into a position to be interpolated in a target image frame is disclosed. The interpolation method includes receiving a plurality of image fields having a corresponding image object, estimating a motion speed of the image object according to a distance between a first pixel position to which the image object located in a first image field of the plurality of image fields and a second pixel position to which the image object located in a second image field of the plurality of image fields, determining the pixel from the plurality of image fields according to the motion speed of the image object, and interpolating the pixel into the position to be interpolated in the target image frame.