Abstract
In this paper, we propose a new encoding method called predictive sub-codebook searching (PSCS) algorithm for vector quantization of images. This algorithm not only allows searching a portion of the codebook to find the minimum distortion codeword of an input vector, but also permits to send the index of the codeword in sub-codebooks which requires shorter bit-length representation than that of the whole codebook Computer simulations using real images show that: the PSCS algorithm is very efficient since it requires minimum number of computations among several existing fast encoding algorithms and there is also about 8 to 21 percent bit-rate reduction depending on the natures of the images.
| Original language | English |
|---|---|
| Pages (from-to) | 187-196 |
| Number of pages | 10 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 1903 |
| DOIs | |
| Publication status | Published - 8 Apr 1993 |
| Event | Image and Video Processing 1993 - San Jose, United States Duration: 31 Jan 1993 → 5 Feb 1993 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering