Radiological image compression using wavelet transform with arithmetic coding

Pongskorn Saipetch; Bruce Kuo Ting Ho; Marco Ma; Keh-Shih Chuang; Jun Wei

doi:10.1117/12.174029

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1 May 1994 Radiological image compression using wavelet transform with arithmetic coding

Pongskorn Saipetch, Bruce Kuo Ting Ho, Marco Ma, Keh-Shih Chuang, Jun Wei

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Proceedings Volume 2164, Medical Imaging 1994: Image Capture, Formatting, and Display; (1994) https://doi.org/10.1117/12.174029
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

We have developed a compression algorithm based on discrete wavelet transform (DWT) and arithmetic coding (AC) that satisfies the requirements of a radiological image archive. This new method is far superior to the previously developed full frame DCT (FFDCT) method as well as the industrial standard JPEG. Since DWT is localized in both spatial and scale domains, the error due to quantization of coefficients does not propagate throughout the reconstructed picture as in FFDCT. Since it is a global transformation, it does not suffer the limitation of block transform methods like JPEG. The severity of error as measured by NMSE and maximum difference increases very slowly with compression ratio compared to FFDCT. Normalized nearest neighbor difference (NNND), which is a measure of blockiness, stays approximately constant, while JPEG's NNND increases rapidly with compression ratio. Furthermore, DWT has an efficient FIR implementation which can be put in parallel hardware. DWT also offers total flexibility in the image format; the size of the image does not have to be a power of two as in the case of FFDCT.

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Pongskorn Saipetch, Bruce Kuo Ting Ho, Marco Ma, Keh-Shih Chuang, and Jun Wei "Radiological image compression using wavelet transform with arithmetic coding", Proc. SPIE 2164, Medical Imaging 1994: Image Capture, Formatting, and Display, (1 May 1994); https://doi.org/10.1117/12.174029

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