IEEE Trans Image Process - Fourier transform based scalable image quality measure.

Tópicos

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Resumo

We present a new image quality assessment (IQA) algorithm based on the phase and magnitude of the 2D (twodimensional) Discrete Fourier Transform (DFT). The basic idea is to compare the phase and magnitude of the reference and distorted images to compute the quality score. However, it is well known that the Human Visual Systems (HVSs) sensitivity to different frequency components is not the same. We accommodate this fact via a simple yet effective strategy of nonuniform binning of the frequency components. This process also leads to reduced space representation of the image thereby enabling the reduced-reference (RR) prospects of the proposed scheme. We employ linear regression to integrate the effects of the changes in phase and magnitude. In this way, the required weights are determined via proper training and hence more convincing and effective. Lastly, using the fact that phase usually conveys more information than magnitude, we use only the phase for RR quality assessment. This provides the crucial advantage of further reduction in the required amount of reference image information. The proposed method is therefore further scalable for RR scenarios. We report extensive experimental results using a total of 9 publicly available databases: 7 image (with a total of 3832 distorted images with diverse distortions) and 2 video databases (totally 228 distorted videos). These show that the proposed method is overall better than several of the existing fullreference (FR) algorithms and two RR algorithms. Additionally, there is a graceful degradation in prediction performance as the amount of reference image information is reduced thereby confirming its scalability prospects. To enable comparisons and future study, a Matlab implementation of the proposed algorithm is available at http://www.ntu.edu.sg/home/wslin/reduced_phase.rar.

Resumo Limpo

present new imag qualiti assess iqa algorithm base phase magnitud d twodimension discret fourier transform dft basic idea compar phase magnitud refer distort imag comput qualiti score howev well known human visual system hvss sensit differ frequenc compon accommod fact via simpl yet effect strategi nonuniform bin frequenc compon process also lead reduc space represent imag therebi enabl reducedrefer rr prospect propos scheme employ linear regress integr effect chang phase magnitud way requir weight determin via proper train henc convinc effect last use fact phase usual convey inform magnitud use phase rr qualiti assess provid crucial advantag reduct requir amount refer imag inform propos method therefor scalabl rr scenario report extens experiment result use total public avail databas imag total distort imag divers distort video databas total distort video show propos method overal better sever exist fullrefer fr algorithm two rr algorithm addit grace degrad predict perform amount refer imag inform reduc therebi confirm scalabl prospect enabl comparison futur studi matlab implement propos algorithm avail httpwwwntuedusghomewslinreducedphaserar

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