An efficient BTC image compression algorithm with vector quantization

作者：Lu ZM^*; Pan JS; Sun SH

来源：Chinese Journal of Electronics, 2000, 9(4): 453-456.

• block truncation coding
• absolute moment ETC
• image compression
• vector quantization

Block truncation coding (BTC) is an efficient block coding technique suitable for real-time image compression, and it has high channel error resisting capability and good reconstructed image quality. Absolute moment ETC (AMBTC) is a simple and fast variant of ETC, The main shortcoming of the original AMBTC algorithm is the high bit rate (normally 2bits/pixel). In order to reduce the bit rate of AMBTC, an efficient ETC image compression algorithm with vector quantization (VQ) is presented in this paper. The main idea of the proposed algorithm is to reduce the number of bits required to code the higher mean, the lower mean and the bit plane, which are created by AMBTC for each image block. On the one hand, a simple look-up-table method is presented for coding the higher mean and the lower mean of a block. On the other hand, vector quantization technique is introduced to reduce the number of bits used to code the bit plane. Test results prove the effectiveness of the proposed algorithm.

• 出版日期2000-10
• 单位哈尔滨工业大学