Topic
Human visual system model
About: Human visual system model is a research topic. Over the lifetime, 8697 publications have been published within this topic receiving 259440 citations.
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TL;DR: A comparison with state-of-the-art metrics shows that the proposed Perceptual Sharpness Index correlates highly with human perception and exhibits low computational complexity.
Abstract: In this letter, a no-reference perceptual sharpness metric based on a statistical analysis of local edge gradients is presented. The method takes properties of the human visual system into account. Based on perceptual properties, a relationship between the extracted statistical features and the metric score is established to form a Perceptual Sharpness Index (PSI). A comparison with state-of-the-art metrics shows that the proposed method correlates highly with human perception and exhibits low computational complexity. In contrast to existing metrics, the PSI performs well for a wide range of blurriness and shows a high degree of invariance for different image contents.
97 citations
TL;DR: This work combines CNN‐based encoding models with magnetoencephalography to validate the accuracy of the encoding model by decoding stimulus identity in a left‐out validation set of viewed objects, achieving state‐of‐the‐art decoding accuracy.
97 citations
TL;DR: The results of psychophysical experiments suggest that the visual system relies on geometric properties of bounding contours such as closure and not on the texture of the two-dimensional regions they partition.
97 citations
04 Oct 1998
TL;DR: Some solutions to the problem of building some perceptual masks for better hiding watermarks embedded in the full-frame DCT domain are presented and the results support the validity of the approach.
Abstract: The interest in image watermarking techniques has rapidly grown during the years. Two requirements needed to be satisfied to use watermarking techniques for copyright protection are: unperceivability and robustness against image processing algorithms and forgery attacks. In particular, it is widely accepted that the exploitation of the characteristics of the human visual system should greatly help in satisfying both these requirements. Some solutions to the problem of building some perceptual masks for better hiding watermarks embedded in the full-frame DCT domain are presented. The results support the validity of the approach.
97 citations
TL;DR: Experiments show that the fusion method proposed can improve spatial resolution and keep spectral information simultaneously, and that there are improvements both in visual effects and quantitative anal ysis compared with the traditional principle component analysis (PCA) method.
97 citations