Title :
Removal of salt-and-pepper noise based on compressed sensing
Author :
Huang, Shanjin ; Zhu, Junan
Author_Institution :
Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
An image restoration method for removing salt-and-pepper noise is proposed. The key point of the method is the sparsity used to reconstruct the whole image based on partial noise-free pixels. Experimental results demonstrate the better performance of the proposed method compared to the existing modified median-type filters.
Keywords :
data compression; image coding; image denoising; image restoration; compressed sensing; image reconstruction; image restoration; salt-and-pepper noise removal;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2010.0833
