Experimental investigation of the effect of binocular disparity on the visibility threshold of asymmetric noise in stereoscopic viewing.

Hak Gu Kim,Yong Man Ro,Seong-Il Lee

doi:10.1364/oe.24.019607

Hak Gu Kim, Yong Man Ro + Show 1 more

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https://doi.org/10.1364/oe.24.019607

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Abstract

Stereoscopic images could have asymmetric distortions caused by image processing in capture, synthesis, and compression of them. In 3D perception in stereoscopic display, the visibility threshold of the asymmetric distortions in the left and right images is important, which is tolerable to the human visual system. In this paper, we investigate the effect of the binocular disparity on the visibility threshold of asymmetric noises in stereoscopic images via subjective assessments. Existing just-noticeable-difference (JND) models for stereoscopic images have not taken into account the effect of the disparity in stereoscopic viewing. In this paper, we subjectively assessed the visibility threshold of asymmetric noises in stereoscopic images according to the disparity. Subjective evaluations showed that large disparity magnitudes could make more tolerable to perceive the asymmetric noises in the stereoscopic viewing.

Highlights

Stereoscopic three-dimensional (S3D) display systems provide viewers with a unique viewing experience by presenting binocular disparity into the left and right eyes
To properly address the perceptual issue of stereoscopic images, the visibility threshold of the asymmetric noises in the left and right images is important, which is tolerable to the human visual system (HVS)
The purpose of this paper is to investigate the effect of disparity magnitude on the visibility threshold of asymmetric noise

Summary

Introduction

Stereoscopic three-dimensional (S3D) display systems provide viewers with a unique viewing experience by presenting binocular disparity into the left and right eyes. To properly address the perceptual issue of stereoscopic images, the visibility threshold of the asymmetric noises in the left and right images is important, which is tolerable to the HVS. For S3D contents, Zhao et al constructed a binocular JND (BJND) model [11] They conducted psychophysical experiments to measure the visibility threshold of asymmetric noises according to the luminance and the contrast masking effects and binocular combinations of noise. Their BJND model did not include the effect of disparity of visual stimuli on the visibility threshold.

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