Perceptual Image Enhancement
نویسندگان
چکیده
Enhancing image quality has become an important issue as the volume of digital images increases exponentially and the expectation of high-quality images grows insatiably. Digitized images commonly suffer from poor visual quality due to distortions, low contrast, the deficiency of lighting, defocusing, atmospheric influences such as fog, severe compression, and transmission errors. Hence, image enhancement is indispensable for better perception, interpretation, and subsequent analysis. Since humans are generally regarded as the final arbiter of the visual quality of the enhanced images, perceptual image enhancement has been of great interest. In this chapter, we visit actively evolving perceptual image enhancement research. The paper discusses the principles of the human visual system that have been used in perceptual image enhancement algorithms and then presents modern image enhancement models and applications on the perceptual aspects of human vision.
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