NASA NTRS · 20060037643
Image and Video Compression with VLSI Neural Networks
Abstract
An advanced motion-compensated predictive video compression system based on artificial neural networks has been developed to effectively eliminate the temporal and spatial redundancy of video image sequences and thus reduce the bandwidth and storage required for the transmission and recording of the video signal. The VLSI neuroprocessor for high-speed high-ratio image compression based upon a self-organization network and the conventional algorithm for vector quantization are compared. The proposed method is quite efficient and can achieve near-optimal results.
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Fang, W., Sheu, B.. 1993-12-20. Image and Video Compression with VLSI Neural Networks. https://ntrs.nasa.gov/citations/20060037643
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