In this paper, we propose an efficient and effective denoising method by introducing a separable implementation of the nonlocal means filter and adopting a�...

ABSTRACT. Nonlocal means filtering is an edge-preserving denoising method whose filter weights are determined by Gaussian weighted patch similarities.

In this paper, we propose an efficient and effective denoising method by introducing a separable implementation of the nonlocal means filter and adopting a�...

It was recently demonstrated that one can perform fast nonlocal means (NLM) denoising of one-dimensional (1-D) signals using a method called lifting.

For the classical NL-means with h = 1[−P,...,P]2 , the convolution with h is separable, so that the complexity of the proposed algorithm is O((2P + 1)(2S +�...

Bilateral filtering is an edge-preserving filtering technique that employs both geometric closeness and photometric sim- ilarity of neighboring pixels to�...

Other methods for fast edge-aware filtering involve approximat- ing the bilateral filter as a series of 1D separable [15] or recursive. [16, 17] passes. These�...

Oct 26, 2017 � The proposed approach produces artifact-free images, whose quality and PSNR are comparable to NLM, while being significantly faster.

Apr 13, 2020 � Cis work proposes the Gaussian lifting framework for efficient and accurate bilateral and nonlocal means filtering, appealing to the�...

It has recently been proved that the popular nonlocal means (NLM) denoising algorithm does not optimally denoise images with sharp edges.