Paper
13 July 2010 Perceptual image quality assessment: recent progress and trends
Weisi Lin, Manish Narwaria
Author Affiliations +
Proceedings Volume 7744, Visual Communications and Image Processing 2010; 774403 (2010) https://doi.org/10.1117/12.863462
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China
Abstract
Image quality assessment (IQA) is useful in many visual processing systems but challenging to perform in line with the human perception. A great deal of recent research effort has been directed towards IQA. In order to overcome the difficulty and infeasibility of subjective tests in many situations, the aim of such effort is to assess visual quality objectively towards better alignment with the perception of the Human Visual system (HVS). In this work, we review and analyze the recent progress in the areas related to IQA, as well as giving our views whenever possible. Following the recent trends, we discuss the engineering approach in more details, explore the related aspects for feature pooling, and present a case study with machine learning.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weisi Lin and Manish Narwaria "Perceptual image quality assessment: recent progress and trends", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774403 (13 July 2010); https://doi.org/10.1117/12.863462
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Cited by 9 scholarly publications.
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KEYWORDS
Image quality

Visualization

Machine learning

Databases

Image processing

Visual process modeling

Image compression

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