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- W1551155914 abstract "Digital image restoration has become a popular area of research (Gonzalez & Woods,2002). The increased demand for archived material and the increasing power of computers have led to a need for digital methods for the restoration of degradation. Common degradation includes noise, line-scratches, tear, moire, shake and flicker (see for instance (Bruni & Vitulano, 2004; Corrigan & Kokaram, 2004; Kokaram, 1998; Kokaram, 2004; Roosmalen et al., 1999)). An important area in digital image processing, and in particular in digital restoration, is human visual perception (Winkler, 2005). Perception laws are crucial in several image processing models. They allow for the improvement of the visual quality of the result using adaptive and automatic methods. The visibility of a given object over a background depends on contrast sensitivity, luminance adaptation and contrast masking (Winkler, 2005; DameraVenkata et al,2000; Gutierrez et al., 2006; Barba & Barba, 2002; Pappas & Safranek, 2000). These measures are well defined for uniform objects over uniform backgrounds while they may fail in presence of sinusoidal stimuli, i.e. highly detailed regions (Damera-Venkata et al,2000; Nadenau et al., 2003). In this case, perception depends on the distance between the observer and the object, according to the width of the analysed region and the frequency of the stimulus. It turns out that point-wise contrast measures that do not take into account the global visibility of an object in a given image, can fail in the presence of complicated patterns." @default.
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- W1551155914 date "2008-08-01" @default.
- W1551155914 modified "2023-09-25" @default.
- W1551155914 title "Visual Perception of Semi-transparent Blotches: Detection and Restoration" @default.
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- W1551155914 doi "https://doi.org/10.5772/6047" @default.
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