Medical image compression algorithm based on wavelet transform

Minghong Chen; Guoping Zhang; Wei Wan; Minmin Liu

doi:10.1117/12.570853

8 February 2005 Medical image compression algorithm based on wavelet transform

Minghong Chen, Guoping Zhang, Wei Wan, Minmin Liu

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.570853
Event: Photonics Asia, 2004, Beijing, China

Abstract

With rapid development of electronic imaging and multimedia technology, the telemedicine is applied to modern medical servings in the hospital. Digital medical image is characterized by high resolution, high precision and vast data. The optimized compression algorithm can alleviate restriction in the transmission speed and data storage. This paper describes the characteristics of human vision system based on the physiology structure, and analyses the characteristics of medical image in the telemedicine, then it brings forward an optimized compression algorithm based on wavelet zerotree. After the image is smoothed, it is decomposed with the haar filters. Then the wavelet coefficients are quantified adaptively. Therefore, we can maximize efficiency of compression and achieve better subjective visual image. This algorithm can be applied to image transmission in the telemedicine. In the end, we examined the feasibility of this algorithm with an image transmission experiment in the network.

Citation Download Citation

Minghong Chen, Guoping Zhang, Wei Wan, and Minmin Liu "Medical image compression algorithm based on wavelet transform", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.570853

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