No-reference quality assessment for stereoscopic images based on binocular quality perception

Seungchul Ryu, Kwanghoon Sohn

Research output: Contribution to journalArticlepeer-review

99 Citations (Scopus)

Abstract

Quality perception of 3-D images is one of the most important parameters for accelerating advances in 3-D imaging fields. Despite active research in recent years for understanding the quality perception of 3-D images, binocular quality perception of asymmetric distortions in stereoscopic images is not thoroughly comprehended. In this paper, we explore the relationship between the perceptual quality of stereoscopic images and visual information, and introduce a model for binocular quality perception. Based on this binocular quality perception model, a no-reference quality metric for stereoscopic images is proposed. The proposed metric is a top-down method modeling the binocular quality perception of the human visual system in the context of blurriness and blockiness. Perceptual blurriness and blockiness scores of left and right images were computed using local blurriness, blockiness, and visual saliency information and then combined into an overall quality index using the binocular quality perception model. Experiments for image and video databases show that the proposed metric provides consistent correlations with subjective quality scores. The results also show that the proposed metric provides higher performance than existing full-reference methods even though the proposed method is a no-reference approach.

Original languageEnglish
Article number6587776
Pages (from-to)591-602
Number of pages12
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume24
Issue number4
DOIs
Publication statusPublished - 2014 Apr

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'No-reference quality assessment for stereoscopic images based on binocular quality perception'. Together they form a unique fingerprint.

Cite this