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CurveletQA Software release. ======================================================================= This is a demonstration of No-reference image quality assessment in curvelet domain. The algorithm is described in: L. Liu, H. Dong, H. Huang, and A. C. Bovik, "No-reference image quality assessment in curvelet domain". Signal Processing: Image Communication, 2014. ======================================================================= Running on Matlab Input : A test image loaded in an array Output: the feature of test image. Usage: 1. Load the image, for example image = imread('testimage1.bmp'); 2. tranform the colour image into gray image image = rgb2gray(image); 3. Call this function to calculate the feature: image_feature = feature_extract(image); Sample execution is also shown through example.m ======================================================================= MATLAB files: example.m, feature_extract.m, gaufit_n1.m, kurtosis2.m, ori_info3.m, size8cut.m, preprocess5.m and fdct_usfft_matlab folder which is original curvelet transformation from "Fast Discrete Curvelet Transforms"(available at : http://www.curvelet.org). =======================================================================
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