![]() Second, the objective image quality assessment measures are classified and reviewed according to the applications and the methodologies utilized in the quality measures. Specifically, the frequently used subjective image quality assessment databases are first reviewed, as they serve as the validation set for the objective measures. In this survey, we give an up-to-date and comprehensive review of these studies. A large number of subjective and objective visual quality assessment studies have been conducted during recent years. Quality assessment for visual signals can be performed subjectively and objectively, and objective quality assessment is usually preferred owing to its high efficiency and easy deployment. Perceptual quality assessment plays a vital role in the visual communication systems owing to the existence of quality degradations introduced in various stages of visual signal acquisition, compression, transmission and display. In each spectrum, the origin represents the DC component, and the horizontal and vertical lines denote the spatial frequency in horizontal and vertical directions (f x and f y ), respectively. The spatial frequency band increases from left to right. B: filtered noise images, each contain a different spatial frequency band (top), and corresponding 2-D power spectra (bottom). ![]() The binocularly corresponding dots (with an opposite contrast) in the center disk of the RDS generate a small uncrossed ("far") disparity, but a cyclopean surface cannot be perceived. Middle and right: images thus form an anticorrelated RDS. ![]() Right: image has a center region the luminance contrast of which is inverted relative to the leftmost one. Parallel-eyed fusion evokes a perception of a center disk floating over a surrounding annulus. Left and middle: images form a stereo pair of a correlated RDS with a small crossed ("near") disparity. A: random-dot stereogram (RDS) of a centersurround configuration. ![]()
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