Huffman Image Compression Incorporating DPCM and DWT

• 作者: Mahmoud Khaled Abd-Ellah Mohamed Abo-Zahhad Reda Ragab Gharieb Sabah M. Ahmed
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: MEDICAL IMAGE Compression BRAIN IMAGE Compression CT DPCM DWT CR
• 年，卷（期）: 2015,（2）
• 页码范围: 123-135
• 页数: 13页
• 分类号: TP39

摘要

This paper presents a medical image compression approach. In this approach, first the image is preprocessed by Differential Pulse Code Modulator (DPCM), second, the output of the DPCM is wavelet transformed, and finally the Huffman encoding is applied to the resulting coefficients. Therefore, this approach provides theoretically threefold compression. Simulation results are presented to compare the performance of the proposed (DPCM-DWT-Huffman) approach with the performances of the Huffman incorporating DPCM (DPCM-Huffman), the DWT-Huffman and the Huffman encoding alone. Several quantitative indexes are computed to measure the performance of the four algorisms. The results show that the DPCM-DWT-Huffman, the DWT-Huffman, the DPCM-Huffman and the Huffman algorisms provide compression ratio (CR) of 6.4837, 4.32, 2.2751 and 1.235, respectively. The results also confirm that while the proposed DPCM-DWT-Huffman approach enhances the CR, it does not deteriorate other performance quantitative measures in comparison with the DWT-Huffman, the DPCM-Huffman and the Huffman algorisms.