IEEE Trans Image Process - Image quality assessment based on gradient similarity.

Tópicos

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{ imag(2830) propos(1344) filter(1198) }
{ analysi(2126) use(1163) compon(1037) }
{ activ(1452) weight(1219) physic(1104) }
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Resumo

In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on gradient similarity. Gradients convey important visual information and are crucial to scene understanding. Using such information, structural and contrast changes can be effectively captured. Therefore, we use the gradient similarity to measure the change in contrast and structure in images. Apart from the structural/contrast changes, image quality is also affected by luminance changes, which must be also accounted for complete and more robust IQA. Hence, the proposed scheme considers both luminance and contrast-structural changes to effectively assess image quality. Furthermore, the proposed scheme is designed to follow the masking effect and visibility threshold more closely, i.e., the case when both masked and masking signals are small is more effectively tackled by the proposed scheme. Finally, the effects of the changes in luminance and contrast-structure are integrated via an adaptive method to obtain the overall image quality score. Extensive experiments conducted with six publicly available subject-rated databases (comprising of diverse images and distortion types) have confirmed the effectiveness, robustness, and efficiency of the proposed scheme in comparison with the relevant state-of-the-art schemes.

Resumo Limpo

paper propos new imag qualiti assess iqa scheme emphasi gradient similar gradient convey import visual inform crucial scene understand use inform structur contrast chang can effect captur therefor use gradient similar measur chang contrast structur imag apart structuralcontrast chang imag qualiti also affect lumin chang must also account complet robust iqa henc propos scheme consid lumin contraststructur chang effect assess imag qualiti furthermor propos scheme design follow mask effect visibl threshold close ie case mask mask signal small effect tackl propos scheme final effect chang lumin contraststructur integr via adapt method obtain overal imag qualiti score extens experi conduct six public avail subjectr databas compris divers imag distort type confirm effect robust effici propos scheme comparison relev stateoftheart scheme

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