TITLE:
Huffman Image Compression Incorporating DPCM and DWT
AUTHORS:
Mohamed Abo-Zahhad, Reda Ragab Gharieb, Sabah M. Ahmed, Mahmoud Khaled Abd-Ellah
KEYWORDS:
Medical Image Compression, Brain Image Compression, CT, DPCM, DWT, CR
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.6 No.2,
April
24,
2015
ABSTRACT: 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.