scholarly journals A Novel Algorithm for Image Denoising Using DT-CWT

2017 ◽  
Vol 8 (3) ◽  
pp. 15-29
Author(s):  
SK.Umar Faruq ◽  
Ramanaiah K.V. ◽  
Soundararajan K.
Keyword(s):  
Image Denoising ◽  
Novel Algorithm

scholarly journals From Insect Vision to a Novel Bio-Inspired Algorithm for Image Denoising

2020 ◽  
Author(s):  
Manfred Hartbauer
Keyword(s):  
Image Denoising ◽  
Color Images ◽  
Insect Vision ◽  
Night Vision ◽  
Primitive Type ◽  
Noise Estimate ◽  
Local Means ◽  
Static Images ◽  
Image Details ◽  
Novel Algorithm

Night active insects inspired the development of image enhancement methods that uncover the information contained in dim images or movies. Here, I describe a novel bionic night vision (NV) algorithm that operates in the spatial domain to remove noise from static images. The parameters of this NV algorithm can be automatically derived from global image statistics and a primitive type of noise estimate. In a first step, luminance values were ln-transformed, and then adaptive local means’ calculations were executed to remove the remaining noise without degrading fine image details and object contours. Its performance is comparable with several popular denoising methods and can be applied to grey-scale and color images. This novel algorithm can be executed in parallel at the level of pixels on programmable hardware.

A Novel Algorithm for Generalized Image Denoising Using Dual Tree Complex Wavelet Transform

2012 ◽  
Vol 7 (2) ◽  
pp. 24-33
Author(s):  
S.K. Umar Faruq ◽  
◽  
K.V. Ramanaiah ◽  
K. Soundara Rajan ◽  
◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Image Denoising ◽  
Complex Wavelet Transform ◽  
Complex Wavelet ◽  
Novel Algorithm

A Novel Weighted Variational Model for Image Denoising

2017 ◽  
Vol 31 (12) ◽  
pp. 1754022 ◽  
Author(s):  
Md. Robiul Islam ◽  
Chen Xu ◽  
Yu Han ◽  
Rana Aamir Raza Ashfaq
Keyword(s):  
Image Analysis ◽  
Image Denoising ◽  
Noise Removal ◽  
Variational Model ◽  
Denoising Method ◽  
Structural Details ◽  
Classical Models ◽  
Dual Projection ◽  
Image Detail ◽  
Novel Algorithm

Image denoising as a part of pre-processing in image analysis is a challenging area of research since noise removal and image detail preservation need a tradeoff. For classical denoising models, the convex total variation (TV) or some nonconvex regularizers are used to achieve the tradeoff. However, the denoising performance of classical models is still inadequate. To overcome this problem, this paper proposes a new variational model for image restoration, where a weighted regularizer is designed to protect more geometric structural details of images from over-smoothing and to remove much noise simultaneously. To solve the model efficiently, a novel algorithm based on Chambolle’s dual projection method and the iteratively reweighting method is presented. Numerical results prove that the proposed denoising method can show better performance than the classical TV-based and the nonconvex regularizer-based denoising methods.

A Novel Algorithm for Hyperspectral Image Denoising in Medical Application

2019 ◽  
Vol 43 (9) ◽  
Author(s):  
Kirubanandasarathy Nageswaran ◽  
Karthikeyan Nagarajan ◽  
Ramasubramanian Bandiya
Keyword(s):  
Image Denoising ◽  
Hyperspectral Image ◽  
Medical Application ◽  
Novel Algorithm

A novel algorithm for threshold image denoising based on wavelet construction

2018 ◽  
Vol 22 (S5) ◽  
pp. 12443-12450
Author(s):  
Zhang Jianhua ◽  
Zhu Qiang ◽  
Zhang Jinrong ◽  
Song Lin ◽  
Wang Jilong
Keyword(s):  
Image Denoising ◽  
Novel Algorithm
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