New image quality measure based on wavelets

Emil Dumic; Sonja Grgic; Mislav Grgic

doi:10.1117/12.810244

27 January 2009 New image quality measure based on wavelets

Emil Dumic, Sonja Grgic, Mislav Grgic

Proceedings Volume 7248, Wavelet Applications in Industrial Processing VI; 72480G (2009) https://doi.org/10.1117/12.810244
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

In our paper we present innovative approach to objective quality evaluation that could be computed using mean difference between original and tested image in different wavelet subbands. DWT subband decomposition properties are similar to human visual system (HVS) characteristics facilitating integration of DWT into image quality evaluation. DWT decomposition is done with multiresolution analysis of a signal that allows us to decompose a signal into approximation and detail subbands. DWT coefficients were computed using reverse biorthogonal spline wavelet filter banks. Coefficients for HH subband in level 2 are used to compute new image quality measure (IQM). IQM is defined as difference between HH level 2 coefficients of original and degraded image.

Citation Download Citation

Emil Dumic, Sonja Grgic, and Mislav Grgic "New image quality measure based on wavelets", Proc. SPIE 7248, Wavelet Applications in Industrial Processing VI, 72480G (27 January 2009); https://doi.org/10.1117/12.810244

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