APSIPA Transactions on Signal and Information Processing > Vol 2 > Issue 1

Visual quality assessment: recent developments, coding applications and future trends

Tsung-Jung Liu, University of Southern California, USA, Yu-Chieh Lin, University of Southern California, USA, Weisi Lin, Nanyang Technological University, Singapore, C.-C. Jay Kuo, University of Southern California, USA, cckuo@sipi.usc.edu
 
Suggested Citation
Tsung-Jung Liu, Yu-Chieh Lin, Weisi Lin and C.-C. Jay Kuo (2013), "Visual quality assessment: recent developments, coding applications and future trends", APSIPA Transactions on Signal and Information Processing: Vol. 2: No. 1, e4. http://dx.doi.org/10.1017/ATSIP.2013.5

Publication Date: 11 Jul 2013
© 2013 Tsung-Jung Liu, Yu-Chieh Lin, Weisi Lin and C.-C. Jay Kuo
 
Subjects
 
Keywords
Image quality assessment (IQA)video quality assessment (VQA)perceptual image codingperceptual video coding
 

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In this article:
I. INTRODUCTION 
II. CLASSIFICATION OF OBJECTIVE VISUAL QUALITY ASSESSMENT METHODS 
III. RECENT DEVELOPMENTS IN IQA 
IV. RECENT DEVELOPMENTS IN VQA 
V. PERFORMANCE COMPARISON 
VI. DISCUSSION ON FUTURE TRENDS 
VII. CONCLUSION 

Abstract

Research on visual quality assessment has been active during the last decade. In this work, we provide an in-depth review of recent developments in the field. As compared with existing survey papers, our current work has several unique contributions. First, besides image quality databases and metrics, we put equal emphasis on video quality databases and metrics as this is a less investigated area. Second, we discuss the application of visual quality evaluation to perceptual coding as an example for applications. Third, we benchmark the performance of state-of-the-art visual quality metrics with experiments. Finally, future trends in visual quality assessment are discussed.

DOI:10.1017/ATSIP.2013.5