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

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

Abstract Background Digital images are captured using sensors during the data acquisition phase, where they are often contaminated by noise (an undesired random signal). Such noise can also be produced during transmission or by poor-quality lossy image compression. Reducing the noise and enhancing t...

Full description

Bibliographic Details
Main Authors: Monagi H. Alkinani, Mahmoud R. El-Sakka
Format: Article
Language:English
Published: SpringerOpen 2017-08-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Patch-based image denoising
Bilateral filter
Non-local means filtering
Probabilistic patch-based filtering
Dictionary learning filtering
K-SVD
Online Access:http://link.springer.com/article/10.1186/s13640-017-0203-4

Internet

http://link.springer.com/article/10.1186/s13640-017-0203-4

Similar Items