Abstract
Fine-coarse vector quantization (FCVQ) is a fast method for searching an unstructured vector quantization codebook. This approach imposes slight distortion to the image and requires substantially large storage. The storage requirement restricts the dimension of the vector blocks hence the performance of this quantization scheme. In this paper, the FCVQ is designed in the transform domain (FCVQ-TB) to provide a possible solution to the problem on memory requirement. Experiments are given to evaluate the performance of the FCVQ-TB.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE International Symposium on Circuits and Systems |
| Publisher | Publ by IEEE |
| Pages | 671-674 |
| Number of pages | 4 |
| Volume | 1 |
| ISBN (Print) | 0780312813 |
| Publication status | Published - 1 Jan 1993 |
| Event | 1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, United States Duration: 3 May 1993 → 6 May 1993 |
Conference
| Conference | 1993 IEEE International Symposium on Circuits and Systems |
|---|---|
| Country/Territory | United States |
| City | Chicago, IL |
| Period | 3/05/93 → 6/05/93 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials