Contoulet denoising of natural images

Contoulet denoising of natural images

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 an...

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Bibliographic Details
Published in:2008 International Conference on Audio, Language and Image Processing pp. 1765 - 1768
Main Authors: Mansoor, Atif Bin, Khan, Shoab A.
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2008
Subjects:
Noise
Noise level
Noise measurement
Noise reduction
Signal to noise ratio
Transforms
Wavelet transforms
Online Access:Get full text
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Summary: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.
ISBN:1424417236
9781424417230
DOI:10.1109/ICALIP.2008.4590267