Abstract
Existing perceptual researches on stereoscopic images mainly focus on the threshold of whole image distortion, rather than the effect of texture feature on the so-called threshold of just-noticeable distortion. Obviously, it is unreasonable to use a single unified perception threshold for natural stereoscopic images as the texture complexity typically varies in different blocks of natural images. To solve this problem, we generated an asymmetrically distorted stereoscopic image database with different texture densities and conducted a large number of subjective experiments. A strong correlation between the asymmetrical visibility threshold and texture complexity was revealed from the subjective experiments. Finally, a nonlinear fitting model was designed to uncover this relationship, which can be applied to asymmetrical coding to control the perceived quality of stereoscopic images.
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