A fast classification scheme for VQ

摘要

In this paper, a new classification scheme using concentric circles is derived for Vector Quantization (VQ) coder. Two DCT coefficients of each image block are used to compute the radius (γ) and angle (θ) in the polar coordinate. A classification scheme consisting of a total of 65 classes is implemented according to the values of γ and θ, and is called 65-classes Concentric Circle Classified VQ (65-CCCVQ). Simulation results show that using 65-CCCVQ, the compression speed is much faster than the original VQ algorithm while maintaining similar image quality.