NDLI: Comp-denoiser adapted to coronary X-ray images

Content Provider	IEEE Xplore Digital Library
Author	Ouled Zaid, A. Bouallegue, A. Olivier, C. Nait Ali, A.
Copyright Year	2008
Description	Author affiliation: 6'COM Lab., Nat. Eng. Sch. of Tunis, Tunis (Ouled Zaid, A.; Bouallegue, A.)
Abstract	Compression of coronary angiographic images has been shown to be difficult as compared to other medical imaging modalities. Some of the factors partially responsible for this is the presence of complex detail structures that are only apparent by subtle changes in the contrast and altered by significant amount of noise. Simultaneous compression and denoising is required when images are altered by additive noise. In our work we developed a wavelet based comp-denoiser adapted to coronary X-ray images. The proposed approach consists on integrating an inter-scale dependant thresholding function, using Bayesian estimation theory, with WTCQ coding algorithm. Experimental results show that despite its simplicity and computational efficiency, our method yields a higher compression performance with a superior image quality. It also outperforms the state of the art of compression based denoisers in terms of distortion.
Starting Page	189
Ending Page	192
File Size	171962
Page Count	4
File Format	PDF
ISBN	9781424425709
DOI	10.1109/ICME.2008.4607403
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-23
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Noise reduction Noise measurement Wavelet coefficients Bit rate Wavelet transforms Noise Bayesian estimation Coronary X-ray images Wavelet transform WTCQ coder bivariate thresholding
Content Type	Text
Resource Type	Article

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