[IPOL announce] new article: Multi-Scale DCT Denoising
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Sun Oct 29 23:42:43 CET 2017
A new article is available in IPOL: http://www.ipol.im/pub/art/2017/201/
Nicola Pierazzo, Jean-Michel Morel, and Gabriele Facciolo,
Multi-Scale DCT Denoising,
Image Processing On Line, 7 (2017), pp. 288–308.
https://doi.org/10.5201/ipol.2017.201
Abstract
DCT denoising is a classic low complexity method built in the JPEG
compression norm. Once made translation invariant, this algorithm was
still proven to be competitive at the beginning of this century. Since
then, it has been outperformed by patch based methods, which are far
more complex. This paper proposes a two-step multi-scale version of the
algorithm that boosts its performance and reduces its artifacts. The
multi-scale strategy decomposes the image in a dyadic DCT pyramid, which
keeps noise white at all scales. The single scale denoising is then
applied to all scales, thus giving multiple denoised versions of the low
frequency coefficients of the denoised image. A 'multi-scale fusion' of
these multiple estimates avoids the ringing artifacts resulting from the
pyramid recomposition. The final algorithm attains a good PNSR and much
improved visual image quality. It is shown to have a deficit of only 1dB
with respect to state of the art algorithms, but its complexity is two
orders of magnitude lower.
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