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Proceedings Paper

Detection of informative fragments for image quality assessment
Author(s): M. V. Gashnikov; V. V. Myasnikov
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Paper Abstract

Algorithms for detection of informative image fragments are proposed. Algorithms detect fragments of two types. Fragments of the first type («homogeneous fragments») are used to estimate the noise in the image. Fragments of the second type («stepped fragment») are used to estimate the frequency response of distortion system. Thus, these fragments can be used for assessment of image distortions and image quality in natural scenarios.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411F (17 March 2017); doi: 10.1117/12.2268542
Show Author Affiliations
M. V. Gashnikov, Samara National Research Univ. (Russian Federation)
V. V. Myasnikov, Samara National Research Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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