A Low-Complexity Color Image Compression Algorithm Based on AMBTC
Hsiao-Hsuan Cheng, Chiung-An Chen, Lung‐Jen Lee, Ting‐Lan Lin, Yih‐Shyh Chiou, Shih‐Lun Chen · 2019
In this paper, a new color image compression algorithm based on Absolute Moment Block Truncation Coding (AMBTC) and entropy coding is proposed. The AMBTC improves the compression performance of Block Truncation Coding (BTC) obviously. A novel technique by using eight different types of bitmap tables is developed for the proposed algorithm. In addition, an entropy coding technique combining prediction and Huffman Coding approach is included in the proposed algorithm and decreased the data amount of luminance images. The experimental results show that more than 82% data amount can be compressed by using the eight different types of novel bitmap tables. Compared with previous studies, this work has better compression performance than previous 4*4 BTC, JPEG, and JPEG-LS algorithms.