14th International Conference on Image Analysis and Processing (ICIAP 2007) Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments Modena, Italy September 10-September 14 ISBN: 0-7695-2877-5
A novel objective full-reference image quality assessment metric based on symmetric geometric moments (SGM) is proposed. SGM is used to represent the structural information in the reference and test images. The reference and test images are divided into (8 ? 8) blocks and the SGM up to fourth order for each block is computed. SGM of the corresponding blocks of the reference and test images are used to form the correlation index or quality metric of each block. The correlation index of the test image is then obtained by taking the average of all blocks. The performance of the proposed metric is validated through subjective evaluation by comparing with objective methods (PSNR and MSSIM) on a database of 174 Gaussian blurred images. The proposed metric performs better than PSNR and MSSIM by providing larger correlation coefficients and smaller errors after nonlinear regression fitting.
Citation:
Chong-Yaw Wee, Raveendran Paramesran, R. Mukundan, "Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments," iciap, pp.807-812, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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