High Frequency Coefficient Effect on Image Based on Contourlet Transformation

This paper produced a new study of dropping high frequencies from an image decomposed using Contourlet transformation to its coefficients. Studying the effect of decompose level in addition to selecting different high frequency coefficient to be dropped, then reconstruct the image from the remaining coefficients has been investigated. The effect of dropped frequencies on the retrieved image has been evaluated. Performance study has investigated in terms of MSE, PSNR and structural similarity of image. Numerical results have shown less MSE, high PSNR, and high structural similarity for images with large size for the same decomposition levels where structural measure closed to (0.87), (0.99) with less MSE approximately (69), (20) for decomposition levels equal [2]-[4] and [2], [3] respectively. While structural similarity of the image does not highly effected with a change of decomposition levels. The resultant MSE and PSNR show promising results for image high quality in many applications of image processing.