Influence of Low-Pass Filtering on Perceived Quality of Asymmetrically Coded Stereoscopic Images

Measurement of visual quality is of fundamental importance for numerous stereoscopic image and video processing applications. The effect of distortions on the perceived stereoscopic images quality already been investigated. But few works focus on the weight preference between distortion types. This paper firstly analyzed the weight preference of stereoscopic images between distortion types. The results show that human rating on quality of stereoscopic image will be insensitive, when the quality of left view image keep constant and the right view is Gaussian blurred. Secondly, this paper investigates whether low-pass filtering on JPEG compressed stereoscopic image can enhance the stereoscopic perceptual quality. The results of the experiments show that low-pass filtering may be used to enhance the perceived quality of stereoscopic images in which the right view image is JPEG compressed at an extent of distortion. Furthermore, the enhancement is image content dependent.