Image Quality Assessment Based on Invariant Moments Similarity

Abstract:

To resolve the problems of the image quality assessment issue and the algorithm adaptability for different image size and deformation, this paper proposes a image quality assessment algorithm based on Invariant Moments Similarity. Firstly, Hu invariant moments values of original image and evaluated image are computed. Secondly the invariant moments distance is completed between original image and evaluated image. At last, the method assess the restoration image quality depend on the invariant moment distance. The experimental result shows that the algorithm result is better than MSE, PSNR, SSIM for the same-size images. And the algorithm based on invariant moment similarity can evaluate different image-size and deformation images with low computing-complexity. The assessment experimental result for difference actual images certifies the algorithm effectiveness.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 565-569
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.565
• Online since: July 2012
• Authors: Mei Wang, E Ye Wang, Guo Hua Pan
• Keywords: Deformation, Image Quality Assessment, Image Size, Invariant Moments Similarity

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