[IPOL discuss] [IPOL announce] new article: Data Adaptive Dual Domain Denoising: a Method to Boost State of the Art Denoising Algorithms
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Wed May 24 00:14:32 CEST 2017
A new article is available in IPOL: http://www.ipol.im/pub/art/2017/203/
Nicola Pierazzo, and Gabriele Facciolo,
Data Adaptive Dual Domain Denoising: a Method to Boost State of the Art
Denoising Algorithms,
Image Processing On Line, 7 (2017), pp. 93–114.
https://doi.org/10.5201/ipol.2017.203
Abstract
This article presents DA3D (Data Adaptive Dual Domain Denoising), a
'last step denoising' method that takes as input a noisy image and as a
guide the result of any state-of-the-art denoising algorithm. The method
performs frequency domain shrinkage on shape and data-adaptive patches.
DA3D doesn't process all the image samples, which allows it to use large
patches (64 x 64 pixels). The shape and data-adaptive patches are
dynamically selected, effectively concentrating the computations on
areas with more details, thus accelerating the process considerably.
DA3D also reduces the staircasing artifacts sometimes present in smooth
parts of the guide images. The effectiveness of DA3D is confirmed by
extensive experimentation. DA3D improves the result of almost all
state-of-the-art methods, and this improvement requires little
additional computation time.
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