Abstract
In this paper, a simple and fast adaptive vector quantization system is presented for image coding. The proposed system is composed of three modules: fast codebook generation, codebook component quantization and dynamic codebook mechanism. In the codebook generation stage, a variance-based initialization technique is developed to improve the convergence rate and achieve a better local minimum, and a key-indexed searching method is also proposed to reduce computations at each iteration for the generalized Lloyd algorithm. After codebook generation, each image vector is then quantized by a dynamic addressing approach with the concept of diminishing codebook size. Meanwhile, a perceptual coding scheme is exploited to encode efficaciously the codebook components for further reducing the bit-rate requirement of the system. Simulation results demonstrate that a gain of around 2dB in PSNR upon the universal vector quantizer, together with a better quality especially in the high contrast areas, is acquired: while the general execution time of nearly 90% less than that of a full search codebook design, being comparable to that of a standard coding by the universal VQ, is obtained.
Original language | English |
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Title of host publication | Conference Record / IEEE Global Telecommunications Conference |
Publisher | IEEE |
Pages | 473-477 |
Number of pages | 5 |
Publication status | Published - 1 Dec 1995 |
Event | Proceedings of the 1995 IEEE Global Telecommunications Conference. Part 2 (of 3) - Singapore, Singapore Duration: 14 Nov 1995 → 16 Nov 1995 |
Conference
Conference | Proceedings of the 1995 IEEE Global Telecommunications Conference. Part 2 (of 3) |
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Country/Territory | Singapore |
City | Singapore |
Period | 14/11/95 → 16/11/95 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Global and Planetary Change