Results 21 to 30 of about 43,627 (311)

DCT Image Denoising: a Simple and Effective Image Denoising Algorithm [PDF]

Image Processing On Line, 2011
This work presents a simple but effective denoising algorithm using a local DCT thresholding. This thresholding is applied separately to each color channel after decorrelation. Due to its simplicity and excellent performance, this contribution can be considered as a baseline for comparison and lower bound of performance for newly developed techniques.
Guoshen Yu, Guillermo Sapiro
openaire   +2 more sources

Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction

EURASIP Journal on Image and Video Processing, 2017
Background Digital images are captured using sensors during the data acquisition phase, where they are often contaminated by noise (an undesired random signal).
Monagi H. Alkinani, Mahmoud R. El-Sakka
doaj   +1 more source

A Geometric Structure Based Non Local Mean Image Denoising Algorithm

IEEE Access, 2023
With the widespread application of image recognition technology, the commercial application value of image denoising is gradually increasing. To optimize the performance of non local mean image denoising algorithms, the similarity of image blocks in this
Lei Shi
doaj   +1 more source

A multiresolution framework for local similarity based image denoising [PDF]

, 2012
In this paper, we present a generic framework for denoising of images corrupted with additive white Gaussian noise based on the idea of regional similarity.
Rajpoot, Nasir M. (Nasir Mahmood), Butt, Irfan T.   +1 more
core   +1 more source

Locally Adaptive Channel Attention-Based Network for Denoising Images

IEEE Access, 2020
Channel attention has recently been proposed and shown a great improvement in image classification accuracy. In this paper, we show that channel attention can greatly help a low-level vision task, image denoising, as well, and propose channel attention ...
Haeyun Lee, Sunghyun Cho
doaj   +1 more source

A Novel Gray Image Denoising Method Using Convolutional Neural Network

IEEE Access, 2022
In order to make the image denoising more effective in high noise level environment, we propose a gray image denoising method using convolutional neural network (ConvNet). By constructing symmetric and dilated convolutional residual network and combining
Yizhen Meng, Jun Zhang
doaj   +1 more source

Boosting of Image Denoising Algorithms [PDF]

SIAM Journal on Imaging Sciences, 2015
33 pages, 9 figures, 3 tables, submitted to SIAM Journal on Imaging ...
Yaniv Romano, Michael Elad
openaire   +3 more sources

WINNet: wavelet-inspired invertible network for image denoising [PDF]

, 2021
Image denoising aims to restore a clean image from an observed noisy one. Model-based image denoising approaches can achieve good generalization ability over different noise levels and are with high interpretability. Learning-based approaches are able to
Huang, Jun-Jie, Dragotti, Pier Luigi
core   +1 more source

Parallel Implementation of Wavelet-based Image Denoising on Programmable PC-grade Graphics Hardware [PDF]

, 2010
The Discrete Wavelet Transform (DWT) has been extensively used for image compression and denoising in the areas of image processing and computer vision. However, the intensive computation of DWT due to its multilevel data decomposition and reconstruction
Xu, Zhijie, Su, Yang
core   +1 more source

On The Blind Denoising Efficiency of Image Denoising Algorithms Through Robustness, Image Quality and Computational Burden

Hittite Journal of Science and Engineering, 2023
The main goal of the image denoising is to recover the original image while attaining the structure of the image as much as possible. When the image denoising task is blind, we have no a priori information about the original image.
Kenan Gençol
doaj   +1 more source