Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Full-reference quality assessment of stereoscopic images by learning binocular visual properties

Not Accessible

Your library or personal account may give you access

Abstract

Stereoscopic imaging technology has been growingly prevalent driven by both the entertainment industry and scientific applications in today’s world. But objective quality assessment of stereoscopic images is a challenging task. In this paper, we propose a novel stereoscopic image quality assessment (SIQA) method by jointly considering monocular perception and binocular interaction. As the most significant contribution of this study, binocular perceptual properties of simple and complex cells are considered for full-reference (FR) SIQA. Specifically, the proposed scheme first simulates the receptive fields of simple cells (one class of V1 neurons) using a push–pull combination of receptive fields response, which is used to represent a monocular cue. Further, the receptive fields of complex cells (the other class of V1 neurons) are simulated by using binocular energy response and binocular rivalry response, which are used to represent a binocular cue. Subsequently, various quality-aware features are extracted from the response of area V1 by calculating the self-weighted histogram of the local binary pattern on four types of feature maps of similarity measurement that will change in the presence of distortions. Finally, kernel ridge regression is used to simulate a nonlinear relationship between the quality-aware features and objective quality scores. The performance of our method is evaluated over popular stereoscopic image databases and shown to be competitive with the state-of-the-art FR SIQA algorithms.

© 2017 Optical Society of America

Full Article  |  PDF Article
More Like This
Simulating binocular vision for no-reference 3D visual quality measurement

Wu-Jie Zhou, Lu Yu, and Ming-Wei Wu
Opt. Express 23(18) 23710-23725 (2015)

Perceptual quality measurement of 3D images based on binocular vision

Wujie Zhou and Lu Yu
Appl. Opt. 54(21) 6549-6557 (2015)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (5)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (27)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved