A Codebook Modification Method of Vector Quantization to Enhance Compression Ratio

Barman, Dibyendu; Hasnat, Abul; Barman, Bandana

doi:10.1007/978-981-16-9885-9_19

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2022

2024

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Cited by 2 publications

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“…In 2022, Barman et al [11] reported a codebook updating procedure to enhance the VQ method's performance. This method reduces the size of the codebook by 37.50% and improves the compression ratio of the algorithm by representing each element in the codebook with 5-bits rather than 8-bits.…”

Section: Literature Reviewmentioning

confidence: 99%

A Codebook Compression Method for Vector Quantization Algorithm

Abul Hasnat,

Dibyendu Barman,

Md Azizul Hoque

et al. 2024

Proc. eng. technol. innov.

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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.

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Section: Literature Reviewmentioning

confidence: 99%