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3557results about "Standards conversion" patented technology

Apparatus and method for optimized compression of interlaced motion images

An interlaced image processing module and corresponding method facilitate improved processing of interlaced motion images. In one embodiment, the interlaced image processing module receives image data frames having interlaced first and second fields and produces a reference field and error field. The reference field corresponds to the still image content of the interlaced frame, whereas the error field corresponds to the motion content of the interlaced frame, particularly the motion between fields. Motion between fields is thus represented in the error field, without redundant representation of the still image content provided by the first field. Where there is little motion between fields, the error terms will be small so the predictor preserves the coding efficiency provided by any auto-correlation in the image. Further, the interlaced image processing method does not rely upon pixel group classification, and thus avoids classification errors, and the loss of coding efficiency from still image content in motion classified blocks. Finally, problems presented by relative motion between fields are avoided, as are local artifacts. Another embodiment transforms the interlaced fields into frame data having a high frequency field and a low frequency field.
Owner:QUVIS +1

Deinterlacing of video sources via image feature edge detection

ActiveUS7023487B1Reduce artifactsPreserves maximum amount of vertical detailImage enhancementTelevision system detailsInterlaced videoProgressive scan
An interlaced to progressive scan video converter which identifies object edges and directions, and calculates new pixel values based on the edge information. Source image data from a single video field is analyzed to detect object edges and the orientation of those edges. A 2-dimensional array of image elements surrounding each pixel location in the field is high-pass filtered along a number of different rotational vectors, and a null or minimum in the set of filtered data indicates a candidate object edge as well as the direction of that edge. A 2-dimensional array of edge candidates surrounding each pixel location is characterized to invalidate false edges by determining the number of similar and dissimilar edge orientations in the array, and then disqualifying locations which have too many dissimilar or too few similar surrounding edge candidates. The surviving edge candidates are then passed through multiple low-pass and smoothing filters to remove edge detection irregularities and spurious detections, yielding a final edge detection value for each source image pixel location. For pixel locations with a valid edge detection, new pixel data for the progressive output image is calculated by interpolating from source image pixels which are located along the detected edge orientation.
Owner:LATTICE SEMICON CORP
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