局所フラクタル次元を用いたベクトル量子化による画像圧縮

笹崎 和也; 鈴木 幸司; 前田 純治

doi:10.11371/wiieej.06-01.0_5

Reports of the 226th Technical Conference of the Institute of Image Electronics Engineers of Japan

Session ID : 06-01-02

DOI https://doi.org/10.11371/wiieej.06-01.0_5

Conference information

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

9:30-10:50 Chair: Hiroshi OCHI, Nihon University

Image Compression by Vector Quantization with Variable Code-Vectors

*Kazuya SASAZAKI, Yukinori SUZUKI, Junji MAEDA

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Keywords: image compression, vector quantization (VQ), local fractal dimension (LFD), generalized Lloyd algorithm (GLA)

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

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Abstract

We proposed vector quantization with variable code-vectors for image compression. The variable code-vectors could solve a tradeoff between encoded image quality and a compression rate of images. We developed algorithm to solve the problem using local fractal dimensions. That is vector quantization with variable code-vectors. Result of computational experiments showed the effectiveness of proposed algorithm.

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