符号化レートに対応した画像のサブバンド符号化における最適帯域分割

白川 将寛; 亀田 昌志

doi:10.11371/wiieej.10.01.0_41

Reports of the 251st Technical Conference of the Institute of Image Electronics Engineers of Japan

Session ID : 10-01-11

DOI https://doi.org/10.11371/wiieej.10.01.0_41

Conference information

Host: The Institute of Image Electronics Engineers of Japan

Co-host: The Institute of Image Information and Television Engineers

Reports of the 251st Technical Conference of the Institute of Image Electronics Engineers of Japan

The optimum band partition considering the coding rate in subband image coding

*Masahiro SHIRAKAWA, Masashi KAMEDA

Author information

Keywords: Subband Image Coding, Optimum Band Partition, Kurtosis, Generalized Gaussian Distribution

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Abstract

In the subband image coding, the optimum band partition method is to minimize the quantization noise power in the encoded image when the coding rate is given. However, the previous method has the problem of the computational costs to determine the optimum band partition in the 2-dimensional frequency domain. In order to solve the problem, the new algorithm for the optimum band partition is proposed by giving the attention to the kurtosis of the subband signals. As the results, our algorithm can improve the computational costs about 1/75 than the previous method.

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