IEEE Trans Image Process - FSIM: a feature similarity index for image quality assessment.

Tópicos

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{ perform(999) metric(946) measur(919) }
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Resumo

Image quality assessment (IQA) aims to use computational models to measure the image quality consistently with subjective evaluations. The well-known structural similarity index brings IQA from pixel- to structure-based stage. In this paper, a novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS' perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA databases demonstrate that FSIM can achieve much higher consistency with the subjective evaluations than state-of-the-art IQA metrics.

Resumo Limpo

imag qualiti assess iqa aim use comput model measur imag qualiti consist subject evalu wellknown structur similar index bring iqa pixel structurebas stage paper novel featur similar fsim index full refer iqa propos base fact human visual system hvs understand imag main accord lowlevel featur specif phase congruenc pc dimensionless measur signific local structur use primari featur fsim consid pc contrast invari contrast inform affect hvs percept imag qualiti imag gradient magnitud gm employ secondari featur fsim pc gm play complementari role character imag local qualiti obtain local qualiti map use pc weight function deriv singl qualiti score extens experi perform six benchmark iqa databas demonstr fsim can achiev much higher consist subject evalu stateoftheart iqa metric

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