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ICIAR
2009
Springer

The Use of Residuals in Image Denoising

10 years 9 months ago
The Use of Residuals in Image Denoising
Abstract. State-of-the-art image denoising algorithms attempt to recover natural image signals from their noisy observations, such that the statistics of the denoised image follow the statistical regularities of natural images. One aspect generally missing in these approaches is that the properties of the residual image (defined as the difference between the noisy observation and the denoised image) have not been well exploited. Here we demonstrate the usefulness of residual images in image denoising. In particular, we show that well-known full-reference image quality measures such as the mean-squared-error and the structural similarity index can be estimated from the residual image without the reference image. We also propose a procedure that has the potential to enhance the image quality of given image denoising algorithms. Key words: image denoising, residual image, no-reference image quality assessment, structural similarity, spatial statistics
Dominique Brunet, Edward R. Vrscay, Zhou Wang
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICIAR
Authors Dominique Brunet, Edward R. Vrscay, Zhou Wang
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