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Proceedings Paper

New image quality measure based on wavelets
Author(s): Emil Dumic; Sonja Grgic; Mislav Grgic
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Paper 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.

Paper Details

Date Published: 27 January 2009
PDF: 8 pages
Proc. SPIE 7248, Wavelet Applications in Industrial Processing VI, 72480G (27 January 2009); doi: 10.1117/12.810244
Show Author Affiliations
Emil Dumic, Univ. of Zagreb (Croatia)
Sonja Grgic, Univ. of Zagreb (Croatia)
Mislav Grgic, Univ. of Zagreb (Croatia)


Published in SPIE Proceedings Vol. 7248:
Wavelet Applications in Industrial Processing VI
Frederic Truchetet; Olivier Laligant, Editor(s)

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