Dimension, Inc.

Iterated Systems, Inc.

Lyman Porter Hurd

John H Elton

Carlos M Diaz-Perez

Gang Liang

Jarkko J Kari

Mihai Sipitca

David Gillman

Methods, systems, devices, and implementing technologies for up-scaling an original source video from a lower, first resolution to a desired output video having a higher, second resolution, using fractal zooming techniques to replace individual source pixels in each respective image frame of the original source video with a plurality of proposed replacement pixels in the vertical and horizontal dimensions having similar characteristics as the individual source pixel, reducing noise associated with each respective frame of the desired output video, re-sizing, as necessary, each respective replacement frame to the second resolution, and outputting each zoomed replacement frame to generate the desired output video, which is an up-scaled version of the original source video. The quality of the up-scaled output video is improved by using artifact filtering and linear smoothing techniques after the initial search and replace steps of the fractal zooming process.

Systems and methods for up-scaling video

A codec, systems, and methods for compressing video data includes selecting a current video frame of the video data, dividing the current video frame into multiple blocks, wherein each block has M&#xd7;N pixels, approximating the blocks of the current frame based on motion vectors associated with corresponding blocks from the previous frame, further refining the blocks of the current frame by determining optimal motion vectors for the blocks of the current frame based on the motion vectors provided (i) by the corresponding blocks from the previous frame, (ii) by the surrounding blocks in the current frame, and (iii) from successively smaller blocks within the current frame, wherein the optimal motion vectors for the blocks of the current frame are optimized to balance distortion and rate and wherein the optimal motion vectors are represented by codewords generated from Huffman tables.

Video codec systems and methods for determining optimal motion vectors based on rate and distortion considerations

Methods, systems, and devices for up-scaling a source input video from a lower, first resolution to a desired output video having a higher, second resolution, using fractal zooming techniques to replace each individual source pixel of each respective frame of the source input video with a multiple of proposed replacement pixels in the vertical and horizontal dimensions having similar characteristics as the individual source pixel, reducing noise associated with each respective frame of the desired output video, re-sizing, as necessary, each respective replacement frame to the second resolution, and outputting each zoomed replacement frame to generate the desired output video having a higher, second resolution, which is the up-scaled version of the source video. The fractal zooming techniques include identifying a plurality of candidate pixels from the source video and selecting a group of pixels from the candidate pixels that best matches the individual source pixel.

Methods and systems for up-scaling a standard definition (SD) video to high definition (HD) quality

A computerized system for up-scaling a source input video from a lower, first resolution to a desired output video having a higher, second resolution, using fractal zooming techniques to replace each individual source pixel of each respective frame of the source input video with a multiple of proposed replacement pixels in the vertical and horizontal dimensions having similar characteristics as the individual source pixel, converting each of the proposed replacement pixels into a desired color space for the desired output video, using low-pass filtering to reduce noise associated with each respective frame of the desired output video, down-sizing the output video to its desired resolution, and outputting each zoomed replacement frame to generate the desired output video.

Video codec systems and methods for optimal motion vector with variable size blocks

The image reconstruction method generates higher quality reconstructed images from compression of a bi-level image. The method includes thresholding to force pixels of the starting image to be closer to bi-level to generate a threshold image. The method transforms the threshold image to generate transform coefficients representing the decomposition of the threshold image. The method selectively clamps the transform coefficients into quantization bins defined by compression of the bi-level image. The selective clamping generates modified coefficients corresponding to the higher quality reconstructed image. The method also includes applying an inverse-transform on the modified coefficients to generate higher quality reconstructed image. The starting image and the reconstructed image can be compared to determine the degree of improvement obtained with the method. The method can be repeated iteratively to obtain an image that more closely represents the original image than does the original lower-quality image.

Method for reconstructing a bi-level image from a low quality discrete transform image

A system and method is disclosed for representing each frame in a sequence of video frames in terms of a correlation between successive video frames. The system and method of the present invention segment the current video frame data and a previous frame into blocks for which motion vectors and/or affine mapping coefficients may be determined. The motion vectors may then be used to represent the current frame data without requiring periodic transmission of a base, self-referential frames of video data. Preferably, the compressor which generates the codewords to represent the current frame data subdivides the blocks of the current frame and previous frame buffers to further evaluate motion factors which may be used to represent current frame data. This evaluation is performed in a recursive manner and preferably includes evaluation of a bit rate/distortion factor to optimally select codewords for representing the current frame data. The bit rate parameters are generated by an entropy encoder which encodes the codewords generated by a compressor in a known entropy coding manner, such as Huffman encoding. Preferably, the decompressor for regenerating previous frames of video data includes a weighted mask filtering of the regenerated frames to reduce blocking artifacts in the regenerated frame data.

System and method for representing a video sequence

A system and method for contractively mapping decompressed images to facilitate resynchronization of data transmission is provided. This system includes a transmitter having a data compressor, a decompressor, and a contractive mapper. The receiver for the data transmission includes a decompressor and contractive mapper. The decompressor and contractive mapper of the transmitter provide the compressor with the same information which the decompressor at the receiver is using to decompress data. In this manner, the compressor may accurately represent the incoming frame data in terms of the contractively mapped decompressed data. The contractive mapper attenuates information in the decompressed data frame to prevent the persistence of erroneous data at the receiver should data become corrupted during transmission or the transmission be interrupted. The contractive mapping is preferably achieved with an affine map contracting scheme which is preferably implemented by a scalar multiplication.

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Atlanta, GA, United States of America

Lyman Porter Hurd