NDLI: Geometrical image denoising using quadtree segmentation

Content Provider	IEEE Xplore Digital Library
Author	Rahul Shukla Vetterli, M.
Copyright Year	2004
Description	Author affiliation: Audio-Visual Commun. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland (Rahul Shukla)
Abstract	We propose a quadtree segmentation based denoising algorithm, which attempts to capture the underlying geometrical structure hidden in real images corrupted by random noise. The algorithm is based on the quadtree coding scheme proposed in our earlier work and on the key insight that the lossy compression of a noisy signal can provide the filtered/denoised signal. The key idea is to treat the denoising problem as the compression problem at low rates. The intuition is that, at low rates, the coding scheme captures the smooth features only, which basically belong to the original signal. We present simulation results for the proposed scheme and compare these results with the performance of wavelet based schemes. Our simulations show that the proposed denoising scheme is competitive with wavelet based schemes and achieves improved visual quality due to better representation for edges.
Starting Page	1213
Ending Page	1216
File Size	350007
Page Count	4
File Format	PDF
ISBN	0780385543
ISSN	15224880
DOI	10.1109/ICIP.2004.1419523
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-24
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image denoising Image segmentation Noise reduction Wiener filter Estimation theory Frequency estimation Laboratories Image coding Additive white noise Ear
Content Type	Text
Resource Type	Article

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