articleIEEE Transactions on MultimediaNov 20, 2014Closed access

Using Free Energy Principle For Blind Image Quality Assessment

KGKe GuGZGuangtao ZhaiXYXiaokang YangWZWenjun Zhang

Shanghai Jiao Tong University

Indexed incrossref

Abstract

In this paper we propose a new no-reference (NR) image quality assessment (IQA) metric using the recently revealed free-energy-based brain theory and classical human visual system (HVS)-inspired features. The features used can be divided into three groups. The first involves the features inspired by the free energy principle and the structural degradation model. Furthermore, the free energy theory also reveals that the HVS always tries to infer the meaningful part from the visual stimuli. In terms of this finding, we first predict an image that the HVS perceives from a distorted image based on the free energy theory, then the second group of features is composed of some HVS-inspired features (such as…

Citation impact

621
total citations
FWCI
34.60
Percentile
100%
References
64
Citations per year

Authors

4

Topics & keywords

Topics
Keywords
  • Naturalness
  • Artificial intelligence
  • Computer science
  • Metric (unit)
  • Image quality
  • Human visual system model
  • Energy (signal processing)
  • Pattern recognition (psychology)
UN Sustainable Development Goals
  • Affordable and clean energy
No related works found for this paper.

Funding