Earticle

초록

영어

The main drawback of the phase congruency feature employed in the feature similarity index (FSIM) image quality assessment (IQA) algorithm is its low computational efficiency. In this paper, a novel fast feature similarity index (FFSIM) for image quality assessment is proposed. Based on the fact that human visual system (HVS) responds to the brightness stimulus mainly complying with Weber's law, the proposed FFSIM only performs spatial filtering to quickly calculate the contrast between the current pixel and its background, which is used to compute Weber visual salience similarity and a weighting coefficient in pooling stage after applied nonlinear mapping. Weber contrast and the gradient magnitude play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use Weber weighting coefficient again as a weighting coefficient to derive a single quality score. As such, the multi-scale version of the FFSIM algorithm, i.e., MS-FFSIM is also proposed, which complies with the spatial frequency response characteristics of the HVS system. Extensive experiments performed on six publicly available IQA databases demonstrate that the proposed FFSIM and MS-FFSIM can achieve higher consistency with the subjective evaluations than state-of-the-art IQA metrics and the computational efficiency is greatly improved as well.

목차

Abstract
 1. Introduction
 2. FSIM
 3. Fast FSIM
  3.1. Basic Idea
  3.2. Weber's Law
  3.3. Weber Contrast Visual Saliency
  3.4. FFSIM and its Multi-Scale Extension
 4. Experiments and Results
  4.1. Databases and Criteria for Comparison
  4.2. Validation and Comparison
 5. Conclusions
 References

키워드

저자

• Shaoping Xu [ School of Information Engineering, Nanchang University, NanChang, JiangXi, China, 330031 ]
• Xiaoping Liu [ School of Information Engineering, Nanchang University, NanChang, JiangXi, China, 330031, Department of Systems and Computer Engineering, Carleton University, Ottawa, ON Canada, K1S 5B6 ]
• Shunliang Jiang [ School of Information Engineering, Nanchang University, NanChang, JiangXi, China, 330031 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605