Title :
Compression of the MR and ultrasound images by using wavelet transform
Author :
Kumaz, M. Nadir ; Dokur, Zümray ; Ölmez, Tamer
Author_Institution :
Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Turkey
Abstract :
Presents a new method for the compression of MR and ultrasound images using a wavelet transform. Nine different wavelet filters have been compared, and the image is decomposed by using the wavelet filter, which gives the highest energy compaction. The wavelet coefficients at the third decomposition level are used for the compression of the biomedical images. The proposed method has provided similar compression ratios, while maintaining a good image quality, with the JPEG compression method.
Keywords :
Huffman codes; biomedical MRI; biomedical ultrasonics; data compression; image coding; image reconstruction; medical image processing; wavelet transforms; Huffman coding; JPEG compression method; MR images; biomedical image compression; compression ratios; highest energy compaction; image quality; third decomposition level; ultrasound images; wavelet coefficients; wavelet filters; wavelet transform; Biomedical imaging; Compaction; Filters; Frequency; Image coding; Image reconstruction; PSNR; Ultrasonic imaging; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106256
