Structural Similarity Based Image Quality Assessment
نویسندگان
چکیده
It is widely believed that the statistical properties of the natural visual environment play a fundamental role in the evolution, development and adaptation of the human visual system (HVS). An important observation about natural image signals is that they are highly structured. By “structured signal”, we mean that the signal samples exhibit strong dependencies amongst themselves, especially when they are spatially proximate. These dependencies carry important information about the structure of the objects in the visual scene. The principle hypothesis of structural similarity based image quality assessment is that the HVS is highly adapted to extract structural information from the visual field, and therefore a measurement of structural similarity (or distortion) should provide a good approximation to perceived image quality.
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