IEEE Trans Image Process - S3: a spectral and spatial measure of local perceived sharpness in natural images.

Tópicos

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Resumo

This paper presents an algorithm designed to measure the local perceived sharpness in an image. Our method utilizes both spectral and spatial properties of the image: For each block, we measure the slope of the magnitude spectrum and the total spatial variation. These measures are then adjusted to account for visual perception, and then, the adjusted measures are combined via a weighted geometric mean. The resulting measure, i.e., S(3) (spectral and spatial sharpness), yields a perceived sharpness map in which greater values denote perceptually sharper regions. This map can be collapsed into a single index, which quantifies the overall perceived sharpness of the whole image. We demonstrate the utility of the S(3) measure for within-image and across-image sharpness prediction, no-reference image quality assessment of blurred images, and monotonic estimation of the standard deviation of the impulse response used in Gaussian blurring. We further evaluate the accuracy of S(3) in local sharpness estimation by comparing S(3) maps to sharpness maps generated by human subjects. We show that S(3) can generate sharpness maps, which are highly correlated with the human-subject maps.

Resumo Limpo

paper present algorithm design measur local perceiv sharp imag method util spectral spatial properti imag block measur slope magnitud spectrum total spatial variat measur adjust account visual percept adjust measur combin via weight geometr mean result measur ie s spectral spatial sharp yield perceiv sharp map greater valu denot perceptu sharper region map can collaps singl index quantifi overal perceiv sharp whole imag demonstr util s measur withinimag acrossimag sharp predict norefer imag qualiti assess blur imag monoton estim standard deviat impuls respons use gaussian blur evalu accuraci s local sharp estim compar s map sharp map generat human subject show s can generat sharp map high correl humansubject map

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