1 November 1997 Choice of word length in the design of a specialized hardware for lossless wavelet compression of medical images
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Abstract
Image compression plays an important role in the archiving and transmission of medical images. Discrete cosine transform (DCT)- based compression methods are not suitable for medical images because of block-like image artifacts that could mask or be mistaken for pathology. Wavelet transforms (WTs) are used to overcome this problem. When implementing WTs in hardware, finite precision arithmetic introduces quantization errors. However, lossless compression is usually required in the medical image field. Thus, the hardware designer must look for the optimum register length that, while ensuring the lossless accuracy criteria, will also lead to a high-speed implementation with small chip area. In addition, wavelet choice is a critical issue that affects image quality as well as system design. We analyze the filters best suited to image compression that appear in the literature. For them, we obtain the maximum quantization errors produced in the calculation of the WT components. Thus, we deduce the minimum word length required for the reconstructed image to be numerically identical to the original image. The theoretical results are compared with experimental results obtained from algorithm simulations on random test images. These results enable us to compare the hardware implementation cost of the different filter banks. Moreover, to reduce the word length, we have analyzed the case of increasing the integer part of the numbers while maintaining constant the word length when the scale increases.
Isidro Urriza, Luis A. Barragan, Jose I. Artigas, Jose I. Garcia, Denis Navarro, "Choice of word length in the design of a specialized hardware for lossless wavelet compression of medical images," Optical Engineering 36(11), (1 November 1997). https://doi.org/10.1117/1.601543
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