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Dynamic Memory Model Based Optimization of Scalar and Vector Quantizer for Fast Image Encoding

10 years 7 months ago
Dynamic Memory Model Based Optimization of Scalar and Vector Quantizer for Fast Image Encoding
The rapid progress of computers and today's heterogeneous computing environment means computation-intensive signal processing algorithms must be optimized for performance in a machine dependent fashion. In this paper, we present formal machinedependent optimizations of scalar and vector quantizer encoders. Using a dynamic memory model, the optimal computation-memory tradeoff is exploited to minimize the encoding time. Experiments show marked improvements over existing techniques.
Gene Cheung, Steven McCanne
Added 25 Oct 2009
Updated 25 Oct 2009
Type Conference
Year 2000
Where ICIP
Authors Gene Cheung, Steven McCanne
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