期刊名称:International Journal of Soft Computing & Engineering
电子版ISSN:2231-2307
出版年度:2012
卷号:2
期号:2
页码:339-343
出版社:International Journal of Soft Computing & Engineering
摘要:Medical image compression is necessary for huge database storage in Medical Centres and medical data transfer for the purpose of diagnosis. Wavelet transforms present one such approach for the purpose of compression. The same has been explored in paper with respect to wide variety of medical images. In this approach, the redundancy of the medical image and DWT coefficients are reduced through thresholding and further through Huffman encoding. This paper presents a lossy image compression technique which works well over most of the medical images.
关键词:Biorthogonal; DWT; Haar; Medical image;compression; symlets.