Abstract
In this paper, Fuzzy Clustering Algorithm is used for the image Tree Structure Vector Quantization (TSVQ). First, a digital image is divided into subblocks of fixed size, which consists of 4×4 blocks of pixels. By performing 2-D Discrete Cosine Transform (DCT), we select six DCT coefficients to form the feature vector. And using Fuzzy c-means algorithm in constructing the TSVQ codebook. By doing so, the algorithm can preserve the edge of image, make good image quality, and reduce the processing time while constructing Tree Structured Codebook, and coding, decoding time.
| Original language | English |
|---|---|
| Pages (from-to) | 466-471 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 1 |
| Publication status | Published - 1996 Dec 1 |
| Event | Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China Duration: 1996 Oct 14 → 1996 Oct 17 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Hardware and Architecture