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.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: Gene Cheung, Steven McCanne
• Keywords: Heterogeneous Computing Environment, ICIP 2000, Image Processing, Machine Dependent Fashion, Vector Quantizer Encoders