Wavelet-based compression/denoising of coronary X-ray images
by Azza Ouled Zaid, Ammar Bouallegue, Christian Olivier, Amine Nait-Ali
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 2, No. 1/2, 2009

Abstract: Compression of angiographic images has been shown to be difficult when compared with other medical imaging modalities. The factors partially responsible for this are the presence of complex structures that are only apparent by subtle changes in the contrast and the significant amount of acquisition noise. In this work, we propose a Comp–Denoiser adapted to coronary X-ray images. For this purpose, Wavelet-based Trellis Coded Quantisation (WTCQ) algorithm is extended to incorporate a bivariate thresholding that considers dependencies between wavelet coefficients and their parents in coarser sub-bands. Experimental results show that despite its simplicity our method yields high compression performance.

Online publication date: Thu, 19-Nov-2009

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