Special Section on Image Quality

New image-quality measure based on wavelets

[+] Author Affiliations
Emil Dumic

University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Wireless Communications, Unska 3/XII, HR-10000 Zagreb, Croatia

Sonja Grgic

University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Wireless Communications, Unska 3/XII, HR-10000 Zagreb, Croatia

Mislav Grgic

University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Wireless Communications, Unska 3/XII, HR-10000 Zagreb, Croatia

J. Electron. Imaging. 19(1), 011018 (January 25, 2010). doi:10.1117/1.3293435
History: Received April 29, 2009; Revised November 25, 2009; Accepted December 01, 2009; Published January 25, 2010
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We present an innovative approach to the objective quality evaluation that could be computed using the mean difference between the original and tested images in different wavelet subbands. Discrete wavelet transform (DWT) subband decomposition properties are similar to human visual system 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. Wavelet coefficients are used to compute new image-quality measure (IQM). IQM is defined as perceptual weighted difference between coefficients of original and degraded image.

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Citation

Emil Dumic ; Sonja Grgic and Mislav Grgic
"New image-quality measure based on wavelets", J. Electron. Imaging. 19(1), 011018 (January 25, 2010). ; http://dx.doi.org/10.1117/1.3293435


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