Abstract: A method of generating a sequence of display frames for display on a display device, wherein the sequence of display frames are derived from a data string which is encoded to include error correction in order to enable recreation of the data string at a receiving device, includes dividing the data string to be encoded into a plurality of source segments; encoding the plurality of source segments to generate a plurality of codewords, each codeword comprising a plurality of codeword bits; and positioning codeword bits in the sequence of frames.

Abstract: An image coding method performs intra prediction with a higher coding efficiency by coding image data on a block-by-block basis. The method generates a predicted block by predicting a current block; computes a difference between the current block and the predicted block; codes the difference computed in the computing; decodes the difference coded in the coding; and adds the difference decoded in the decoding to the predicted block to generate a decoded block. The generating of the predicted block includes detecting an edge in a previously decoded block corresponding to a block adjacent to the current block; and extrapolating or interpolating previously decoded image data corresponding to a pixel included in the block adjacent to the current block, along a direction of the edge detected in the detecting to generate the predicted block.

Abstract: A system and method for surgical visualization transform a cut procedure into a visual representation, e.g., during resection via a cutting tool. The system and method obtain shape data, e.g., bone shape data for the bone to be resected, and generate a CSG object model such as a bone model. Another CSG model is also generated, based, for example, on the cutting tool shape. During resection, tool position data is collected and multiple CSG subtraction models are generated based on the cutting tool model and the position data. The CSG bone model and subtraction models are used to create an image space visual representation by merging the CSG subtraction models into a single merged CSG subtraction model and subtracting the single merged CSG subtraction model from the CSG bone model.

Abstract: The present invention discloses a contactless 3D biometric feature identification system and the method thereof. The system comprises of a fixed-viewpoint image capturing means, a lighting module capable of producing different illuminations on the object of interest and a microprocessor configured to execute a biometric identification algorithm. The algorithm starts with capturing a plurality of images with different illuminations. The captured images are then utilized to reconstruct a three dimensional surface model. Different features, for instance 2D and 3D coordinates and orientations of the biometric feature, surface curvature of the object and the local surface orientation of the object, are extracted from the captured images and the reconstructed 3D surface model. Different matching scores are also developed based on the aforesaid features to establish the identity of the biometric features.

Abstract: A method of compressing an image is provided by saving compressed color components into temporary buffers. In different time slots, compressed color components are stored in different temporary buffer. When data in the temporary buffers reach a predetermined size, data are moved to a second buffer larger than the temporary buffers. When the second buffer stores a predetermined amount of data, data are moved to an external memory.

Abstract: An image processing system produces highly accurate determination of a local area that does not conform to an assumed change. Positional displacement amount calculation element 91 calculates a positional displacement amount between a target image and a reference image. Pixel operation element 95 relates a pixel in the target image to a pixel in the reference image by specifying the pixel in the reference image nearest a position of the pixel in the target image when the target image is corrected so as to resolve the positional displacement, calculates a relative pixel differential vector which is a differential vector of respective vectors of the relative pixels, and determines whether or not the pixel in the target image is a pixel of the local area, based on the relative pixel differential vector and an ellipsoid in a predetermined space, the ellipsoid relating to the pixel in the reference image.

Abstract: To provide an image decoding apparatus that suppresses overhead of parallel processing to improve parallelization efficiency and reduce circuit costs, while solving neighboring macroblock dependencies. The image decoding apparatus (100) includes first and second decoding circuits (101, 102) having a transfer unit that transfers right neighborhood information or left neighborhood information, and first and second transfer completion detection units (104, 105) that respectively detect whether or not the left neighborhood information or the right neighborhood information has been transferred to the first and second decoding circuits (101, 102). Each of the first and second decoding circuits (101, 102) decodes a decoding target macroblock positioned at an edge of a region, when the transfer of the left neighborhood information or the right neighborhood information is detected.

Abstract: A method for correcting the background phase in magnetic resonance phase contrast flow images includes providing a time series of velocity encoded magnetic resonance images of a patient, where the time series of velocity encoded images comprises for each time point a phase contrast image where a pixel intensity is proportional to a flow velocity, measuring a change of intensity for each pixel over the time series of phase contrast images, identifying pixels with a low measure of temporal change as stationary pixels, and calculating a correction field for the stationary pixels, where the correction field represents a background phase to be subtracted from the phase contrast image.

Abstract: There are provided an image processing apparatus, a method, and a program capable of appropriately adjusting the stereoscopic effect in a stereoscopic image with a person. The attention point serving as the provisional cross point position is set to a person's eye, and the cross point position is shifted backwards from the attention point as the percentage of the image occupied by the face increases, thereby adjusting the stereoscopic effect so as to increase an area of the object which is projected forward from the cross point. Regarding the calculation of the back shift amount, the back shift amount is set to increase as the percentage of the face occupied in the standard image increases, and the coefficient is set to be smaller as the number of pixels of the positions nearer than the attention point increases, and the set coefficient kb is multiplied by the back shift amount.

Abstract: Computer-based techniques for grouping documents are described herein. Documents may be grouped, organized, named, and/or indexed by their document character features. Document character features may comprise character counts, character difference counts, missing character counts, and any combination thereof. The comparison of documents may use a comparison threshold value for grouping documents. Documents may be processed in any language.

Abstract: An apparatus and a method of encoding/decoding an image are provided. The method includes generating a bitmap table by mapping a quantized image, that is quantized according to a predetermined bit-depth, to a map table, and setting a bitmap index corresponding to each pixel location of the quantized image with reference to the bitmap table; setting a fixed filter index corresponding to an image of each pixel of the image by analyzing local characteristics of the image; generating bitmap data by adding the filter index to the bitmap index; extracting a bitmap index, a bitmap table, and a filter index from the bitmap data; extracting an encoded image mapped to the bitmap index from the bitmap table; and filtering the extracted encoded image based on a filter corresponding to the filter index.

Abstract: A method of operating a pathology laboratory, which utilizes an ultrasound imaging device, adapted to automatically image tissue specimens, in the laboratory. Resected tissue specimens are received into the laboratory and the ultrasound imaging device is used to image some of the received tissue specimens, thereby creating 3-dimensional tissue specimen images of imaged tissue specimens. Locations on the imaged tissue specimens to take tissue sample, in order to make microscope slides, are determined in reliance on the tissue specimen images and the tissue samples are taken from the locations determined and the microscope slides are produced.

Abstract: A method for characterizing a surface, consisting of dividing the surface into pixels which are characterized by a parameter variation and defining blocks of the surface as respective groups of the pixels. The pixels are irradiated in multiple scans over the surface with radiation having different first polarization states. At least part of the radiation returning from the pixels is analyzed using second polarization states, to generate processed returning radiation. For each scan, block signatures of the blocks are constructed using the processed returning radiation from the group of pixels in each block. Also for each scan, a block signature variation is determined using the respective block signatures of the blocks, and, in response to the block signature variation, one of the first polarization states and at least one of the second polarization states are selected for use in subsequent examination of a test object.

Abstract: A method of determining integrity of a can seam including disposing the can seam between an X-ray source and an X-ray detector, exposing an overlap region of the can seam to radiation from the source, and determining an indication of integrity of the overlap region from a measure of variation in radiation intensity readings taken by the detector over a series of circumferential intervals of the can seam.

Abstract: A target tracking method includes representing a human target with a machine-readable model including a plurality of skeletal points. The plurality of skeletal points are adjustable into a plurality of different legal poses. The method further includes receiving an observed depth image of the human target from a source and determining proposed positions for one or more of the skeletal points of the machine-readable model based on the observed depth image. The proposed positions of the skeletal points are then adjusted to comply with one or more rules if one or more of the proposed positions violates any of the one or more rules.

Abstract: A method and apparatus for processing images, and an image display apparatus are provided that can produce favorable images even when digitized image are partially magnified (enlarged) or reduced (shrunk). The apparatus for expanding or reducing input image data supplied thereto, for each area of the image data, comprises a high frequency (HF) component smoothing processor that generates smoothed-HF-component image data by smoothing HF components of the input image data; a partial magnification/reduction controller that generates partial magnification/reduction control information that designates positions of pixels in image data obtained after expanding or reducing the input image data for each image area; and a pixel data generator that generates pixel data of pixel positions designated by the partial magnification/reduction control information in the smoothed-HF-component image data, by using pixel data in a neighborhood of the designated pixel positions.

Abstract: Methods and apparatus for patch-based construction of an object shape from the shading of an image are disclosed. An image is divided into a set of image subregions. For each image subregion, a set of subregion dictionary entries is identified. Each of the set of subregion dictionary entries includes a subregion entry appearance matching an appearance of the respective image subregion and a subregion entry geometry. A set of optimal subregion dictionary entries is identified. Identifying the set of optimal subregion dictionary entries includes minimizing an energy function of the sets of subregion dictionary entries for all image subregions. Each optimal subregion dictionary entry is, for a respective one of the image subregions, a subregion entry associated with a minimum of the energy function. The shape includes a shape construction parameter from a subregion geometry entry of each optimal subregion geometry entry of the set of optimal subregion geometry entries.

Abstract: A trajectory of movement of an object is tracked in a video data image field that is partitioned into a plurality of different grids. Global image features from video data relative to the trajectory are extracted and compared to a learned trajectory model to generate a global anomaly detection confidence decision value as a function of fitting to the learned trajectory model. Local image features are also extracted for each of the image field grids that include object trajectory, which are compared to learned feature models for the grids to generate local anomaly detection confidence decisions for each grid as a function of fitting to the learned feature models for the grids. The global anomaly detection confidence decision value and the local anomaly detection confidence decision values for the grids are into a fused anomaly decision with respect to the tracked object.

Abstract: A system and method for a blur brush performing adaptive bilateral filtering is disclosed. The method may include receiving user input selecting an area of an image to be filtered, such as by pointing to the image area using the blur brush. The selected image may comprise an edge and a plurality of pixels. The method may operate to the blur brush identifying the edge in the selected image area. The method may operate to apply a filter tool (e.g., a bilateral filter) to the selected image area, while preserving the edge. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs.

Abstract: Image processing devices include a color extractor circuit configured to extract color information from input image data, a color shifter circuit configured to color shift the input image data according to the extracted color information and a definition enhancement circuit configured to detect a color difference from the color-shifted image data and to unsharp mask filter the color-shifted image data according to the detected color difference.