DocumentCode
2427710
Title
Contoulet denoising of natural images
Author
Mansoor, Atif Bin ; Khan, Shoab Ahmed
Author_Institution
Nat. Univ. of Sci. & Technol., Rawalpindi
fYear
2008
fDate
7-9 July 2008
Firstpage
1765
Lastpage
1768
Abstract
The paper investigates the image denoising utilizing a new discrete transform, contourlet transform through thresholding technique for natural images. We investigate the new transform with varied amount of noise for three sigma thresholding on a block of four natural images. Signal to noise ratio and visual judgement are made to assess the denoised images. The method displays improved signal to noise ratio for noisy images, but with observable artifacts.
Keywords
discrete transforms; image denoising; natural scenes; contoulet denoising; contourlet transform; discrete transform; image denoising; natural images; sigma thresholding; signal to noise ratio; thresholding technique; Discrete transforms; Filter bank; Image denoising; Image sensors; Laplace equations; Noise reduction; Pollution measurement; Signal to noise ratio; Spatial resolution; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1723-0
Electronic_ISBN
978-1-4244-1724-7
Type
conf
DOI
10.1109/ICALIP.2008.4590267
Filename
4590267
Link To Document