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Proceedings Paper

Perceptual image quality assessment: recent progress and trends
Author(s): Weisi Lin; Manish Narwaria
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Paper 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.

Paper Details

Date Published: 13 July 2010
PDF: 9 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774403 (13 July 2010); doi: 10.1117/12.863462
Show Author Affiliations
Weisi Lin, Nanyang Technological Univ. (Singapore)
Manish Narwaria, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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