Denoise Digital Images Depending on Contourlet Transform
AL-Rafidain Journal of Computer Sciences and Mathematics,
2010, Volume 7, Issue 3, Pages 227-242
AbstractIn this paper a new, proposed way to denoise an image under the impact of different types of noise experienced by the image acquired during media, where the reliance on contourlet transform because of their ability to maintain the edges in the image(high-high frequency)in addition to its potential to capture information smooth contours, which is one of the most important information that must be maintained by the methods of restoration to get to an estimate of the original image.
Thus it was the use of an algorithm the threshold for the adoption of that every image inserted is denoise, the impact of noise which depending on the impulse response of contourlet transform, has been the adoption of digital images of different types, as an assessment of how much closer the image recovered to the original image through the use of some measurements including correlation coefficient as well as SNR , MSE and PSNR.
Results of applying the proposed algorithm on different type of images give a conclusion that adoption of contourlet transform, gives high stability when image size is changed with noise acquires the image through the transformation media.
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