Natural image noise removal using nonlocal means and hidden Markov models in transform domain
Nonlocal means (NLM) which utilizes the self-similarity is considered as one of the most
popular denoising techniques. Although NLM can attain significant performance, it shows a …
popular denoising techniques. Although NLM can attain significant performance, it shows a …
Windowed variation kernel Wiener filter model for image denoising with edge preservation
X Liu, S Fu, B Lin, X Nie - Optics & Laser Technology, 2023 - Elsevier
Due to the inherent characteristics of redundancy in natural images, sparsity and low-rank
approximation can be applied to image processing tasks. However, most existing denoising …
approximation can be applied to image processing tasks. However, most existing denoising …
An efficient collaborative filtering method for image noise and artifact removal
X Liu, S Wang, S Fu, L Yuliang, S Liu, W Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, sparse representation theory and low-rank approximation model have been
widely used in signal and image processing fields. In the study of natural image denoising …
widely used in signal and image processing fields. In the study of natural image denoising …
Natural image noise removal using non local means and hidden Markov models in stationary wavelet transform domain
In self-similarity digital image features, nonlocal means (NLM) exploits the major aspects
when it comes to noise removal methods. Despite the high performance characteristics that …
when it comes to noise removal methods. Despite the high performance characteristics that …