Hybrid image compression methods based on vector quantization and block truncation coding

Chin-Chen Chang; YuChen Hu

doi:10.1117/1.602103

1 April 1999 Hybrid image compression methods based on vector quantization and block truncation coding

Chin-Chen Chang, YuChen Hu

Optical Engineering, Vol. 38, Issue 4, (April 1999). https://doi.org/10.1117/1.602103

Vector quantization (VQ) and block truncation coding (BTC) are two popular schemes for image compression. VQ has been widely used for its simplicity and low bit rate; on the other hand, BTC has the advantages of requiring little computational cost and providing high image quality. To put together the advantages of VQ and BTC, three hybrid methods based on VQ and BTC are proposed in this paper. According to our experimental results, it is shown that the first two methods of ours produce good image quality while keeping low bit rate. Meanwhile, the third method produces higher image quality while keeping acceptable bit rate. Also, these methods require little computational cost. In other words, our methods can be applied to diverse occasions according to their specific requirements.

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Chin-Chen Chang and YuChen Hu "Hybrid image compression methods based on vector quantization and block truncation coding," Optical Engineering 38(4), (1 April 1999). https://doi.org/10.1117/1.602103

Published: 1 April 1999

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