Title :
A new compression algorithm for medical images using wavelet transform
Author :
Tu, Guofang ; Liu, Derong ; Zhang, Can
Author_Institution :
Sch. of Inf. Sci. & Eng., Chinese Acad. of Sci., Beijing, China
Abstract :
This paper presents a new compression algorithm for medical images. The present algorithm is based on interframe predictive coding of images using wavelet transform for motion compensation. Simulation results show that the new algorithm has better performance than some existing algorithms. Compared with the 2-D wavelet compression, the new algorithm has a slightly higher compression ratio for CT images and the peak signal to noise ratio (PSNR) is increased for 3 dB. Compared with the DCT for motion compensation compression algorithm, the PSNR is increased for 5 dB using the new algorithm at the same compression ratio of 15.
Keywords :
computerised tomography; data compression; image coding; medical image processing; motion compensation; wavelet transforms; compression algorithm; computed tomography images; interframe predictive coding; medical images; motion compensation; peak signal to noise ratio; wavelet transform; Biomedical imaging; Compression algorithms; Computed tomography; Discrete cosine transforms; Image coding; Medical simulation; Motion compensation; PSNR; Predictive coding; Wavelet transforms;
Conference_Titel :
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-8812-7
DOI :
10.1109/ICNSC.2005.1461166
