Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 6,
  • Issue 7,
  • pp. 491-494
  • (2008)

Image quality assessment metrics by using directional projection

Not Accessible

Your library or personal account may give you access

Abstract

Objective image quality measure, which is a fundamental and challenging job in image processing, evaluates the image quality consistently with human perception automatically. On the assumption that any image distortion could be modeled as the difference between the directional projection-based maps of reference and distortion images, we propose a new objective quality assessment method based on directional projection for full reference model. Experimental results show that the proposed metrics are well consistent with the subjective quality score.

© 2008 Chinese Optics Letters

PDF Article
More Like This
Selection of image fusion quality measures: objective, subjective, and metric assessment

Timothy D. Dixon, Eduardo Fernández Canga, Stavri G. Nikolov, Tom Troscianko, Jan M. Noyes, C. Nishan Canagarajah, and Dave R. Bull
J. Opt. Soc. Am. A 24(12) B125-B135 (2007)

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

Jian Ma, Ping An, Liquan Shen, and Kai Li
Appl. Opt. 56(29) 8291-8302 (2017)

Monocular–binocular feature fidelity induced index for stereoscopic image quality assessment

Feng Shao, Kemeng Li, Gangyi Jiang, Mei Yu, and Changhong Yu
Appl. Opt. 54(33) 9671-9680 (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

Select as filters


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