A Codebook Compression Method for Vector Quantization Algorithm
| Autor: | Abul Hasnat, Dibyendu Barman, Md Azizul Hoque, Santanu Halder, Debotosh Bhattacharjee |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Proceedings of Engineering and Technology Innovation (2024) |
| Druh dokumentu: | article |
| ISSN: | 2413-7146 2518-833X |
| DOI: | 10.46604/peti.2024.13268 |
| Popis: | This study introduces a novel approach to enhance the compression ratio of the vector quantization (VQ) algorithm by specifically targeting the compression of its codebook. The VQ algorithm typically generates an index matrix and a codebook to represent compressed images. The proposed method focuses on reducing the size of the codebook, which comprises N codewords, each with elements quantized into four levels. Each 8-bit element in a codeword is compressed to 2-bits, and the encoded codeword is accompanied by the minimum value and a threshold value in the codebook. Experimental results on benchmark color images, such as baboon, airplane, Lena, and others, demonstrate a significant reduction of 62.50% in the size of the VQ codebook. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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