2 June 2000 Masking effects in the quality assessment of coded images
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Today, the use of objective quality metrics is well-known for the optimization of digital image processing systems. The work presented in this paper is about an algorithmic construction of an image quality criterion. This criterion takes into account the human visual system HVS properties in order to ensure the correspondence between objective measures given by the criterion and subjective notes given by a group of observers, and is decomposed functionally into three principal blocks. The first one corresponds to a perceptual image representation: a set of 17 frequential channels models the radial and angular selectivity of the HVS. The second block concerns the construction of the adaptation function of perception thresholds due to masking effects. Thanks to psychophysical experiments, the visibility thresholds of impairments are first measured in each individual channel, then in the presence of masking signals from other channels. The aim of this paper is to present these results and the masking model which takes into account both masking effects within channels and between channels. Finally in the third block, both frequential and spatial pooling are performed.
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Nachida Bekkat, Nachida Bekkat, Abdelhakim Saadane, Abdelhakim Saadane, Dominique Barba, Dominique Barba, } "Masking effects in the quality assessment of coded images", Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); doi: 10.1117/12.387158; https://doi.org/10.1117/12.387158

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