An Alternative Variational Framework for Image Denoising
We propose an alternative framework for total variation based image denoising models. The model is based on the minimization of the total variation with a functional coefficient, where, in this case, the functional coefficient is a function of the magnitude of image gradient. We determine the consid...
Saved in:
Main Authors: | Elisha Achieng Ogada, Zhichang Guo, Boying Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/939131 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Total Variation Model Based on the Strictly Convex Modification for Image Denoising
by: Boying Wu, et al.
Published: (2014-01-01) -
Poisson Denoising for Astronomical Images
by: Fahad Shamshad, et al.
Published: (2018-01-01) -
Efficient Algorithm for Isotropic and Anisotropic Total Variation Deblurring and Denoising
by: Yuying Shi, et al.
Published: (2013-01-01) -
Green Channel Guiding Denoising on Bayer Image
by: Xin Tan, et al.
Published: (2014-01-01) -
3D Wavelet Subbands Mixing for Image Denoising
by: Pierrick Coupé, et al.
Published: (2008-01-01)