Noise suppression in multichannel data sets, such as color images, has drawn much attention in the last few years. An issue of paramount importance in designing color image filters is the determination of the coefficients that should be used to weight the inputs to the filter. In this study, we prop
Perceptual denoising of color images
β Scribed by Ilka A. Netravali; Robert J. Holt; Charles Webb
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 597 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0899-9457
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Denoising of color images is a tradeβoff between sharpness of an image and perceived noise. We formulate a novel optimization problem that can maximize sharpness of an image while limiting the perceived noise under a model of visibility of additive random noise. We derive a closedβform expression for an optimal twoβdimensional finite impulse response filter, show its uniqueness and existence, and present simulation results for black and white as well as color images. Simulation results show remarkable reduction in perceptibility of noise, while preserving sharpness. The computational burden required for the optimal filter is reduced by a new adhoc filter which is simple but has near optimal performance. Β© 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 215β222, 2010.
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