Title :
Contoulet denoising of natural images
Author :
Mansoor, Atif Bin ; Khan, Shoab Ahmed
Author_Institution :
Nat. Univ. of Sci. & Technol., Rawalpindi
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;
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
DOI :
10.1109/ICALIP.2008.4590267
