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Fast image and video denoising via nonlocal means of similar neighborhoods

12 years 6 months ago
Fast image and video denoising via nonlocal means of similar neighborhoods
In this note, improvements to the non-local means image denoising method introduced in [2], [3] are presented. The original non-local means method replaces a noisy pixel by the weighted average of pixels with related surrounding neighborhoods. While producing state-of-the-art denoising results, this method is computationally impractical. In order to accelerate the algorithm, we introduce filters that eliminate unrelated neighborhoods from the weighted average. These filters are based on local average gray values and gradients, pre-classifying neighborhoods and thereby reducing the original quadratic complexity to a linear one and reducing the influence of less-related areas in the denoising of a given pixel. We present the underlying framework and experimental results for gray level and color images as well as for video.
Mona Mahmoudi, Guillermo Sapiro
Added 19 Jul 2010
Updated 19 Jul 2010
Type Journal
Year 2005
Where IEEE signal processing letters
Authors Mona Mahmoudi, Guillermo Sapiro
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