Saliency detection based on structural dissimilarity induced by image quality assessment model

Yang Li; Xuanqin Mou

doi:10.1117/1.JEI.28.2.023025

3 April 2019 Saliency detection based on structural dissimilarity induced by image quality assessment model

Yang Li, Xuanqin Mou

Author Affiliations +

Journal of Electronic Imaging, Vol. 28, Issue 2, 023025 (April 2019). https://doi.org/10.1117/1.JEI.28.2.023025

Abstract

The distinctiveness of image regions is widely used as the cue of saliency. Generally, the distinctiveness is computed according to the absolute difference of features. However, according to the image quality assessment (IQA) studies, the human visual system is highly sensitive to structural changes rather than absolute difference. Accordingly, we propose the computation of the structural dissimilarity between image patches as the distinctiveness measure for saliency detection. Similar to IQA models, the structural dissimilarity is computed based on the correlation of the structural features. The global structural dissimilarity of a patch to all the other patches represents saliency of the patch. We adopt two widely used structural features, namely the local contrast and gradient magnitude, into the structural dissimilarity computation in the proposed model. Without any postprocessing, the proposed model based on the correlation of either of the two structural features outperforms 11 state-of-the-art saliency models on three saliency databases.

Citation Download Citation

Yang Li and Xuanqin Mou "Saliency detection based on structural dissimilarity induced by image quality assessment model," Journal of Electronic Imaging 28(2), 023025 (3 April 2019). https://doi.org/10.1117/1.JEI.28.2.023025

Received: 16 June 2018; Accepted: 6 March 2019; Published: 3 April 2019

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available