Content-based image quality metric using similarity measure of moment vectors

DOI10.1016/j.patcog.2011.12.001zbMath1234.68453OpenAlexW2110689527MaRDI QIDQ408030

Chern-Loon Lim, Kim-Han Thung, Raveendran Paramesran

Publication date: 28 March 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.12.001

zbMATH Keywords

similarity measureblock classificationimage quality assessmentTchebichef moments

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (5)

Blind image quality assessment for Gaussian blur images using exact Zernike moments and gradient magnitude ⋮ A new hybrid form of Krawtchouk and Tchebichef polynomials: design and application ⋮ Image retrieval based on multiview constrained nonnegative matrix factorization and Gaussian mixture model spectral clustering method ⋮ Fast recursive computation of Krawtchouk polynomials ⋮ Kernel-based mixture models for classification

Uses Software

• TID2013

Cites Work

• Image quality assessment by discrete orthogonal moments
• A numerical recipe for accurate image reconstruction from discrete orthogonal moments
• Image dissimilarity
• The effects of a visual fidelity criterion of the encoding of images
• Image analysis by Tchebichef moments
• A Test for Normality of Observations and Regression Residuals

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