Adaptive discrete cosine transform image coding using gain/Shape vector quantizers
Takahiro Saito, Hideya Takeo, Kiyoharu Aizawa, Hiroshi Harashima, Hiroshi Miyakawa
Abstract
Takahiro Saito, Hideya Takeo, Kiyoharu Aizawa, Hiroshi Harashima, Hiroshi Miyakawa
Abstract
An efficient discrete cosine transform image coding system using the gain/shape vector quantizers (DCT-G/S VQ) is presented. In the coding system, AC transform coefficients in a subblock are partitoned into several bands according to the Schaming's method, and the normalized AC transform coefficients of each band are quantized with the gain/shape vector quantizer designed on a spherically symmetric probability model. In addition, an adaptive DCT-G/S VQ (A-DCT-G/S VQ) is presented by incorporating a modification of the recursive quantization technique in the DCT-G/S VQ. The coding systems are simulated on color images, and their performance is compared to that of previously reported discrete cosine transform coding systems using the Max-type scalor quantizers.
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An efficient discrete cosine transform image coding system using the gain/shape vector quantizers (DCT-G/S VQ) is presented. In the coding system, AC transform coefficients in a subblock are partitoned into several bands according to the Schaming's method, and the normalized AC transform coefficients of each band are quantized with the gain/shape vector quantizer designed on a spherically symmetric probability model. In addition, an adaptive DCT-G/S VQ (A-DCT-G/S VQ) is presented by incorporating a modification of the recursive quantization technique in the DCT-G/S VQ. The coding systems are simulated on color images, and their performance is compared to that of previously reported discrete cosine transform coding systems using the Max-type scalor quantizers.
Key concepts: Discrete cosine transform, Transform coding, Vector quantization, Lapped transform, Mathematics, Modified discrete cosine transform, Quantization (signal processing), Sub-band coding