Detection of informative fragments for image quality assessment

M. V. Gashnikov; V. V. Myasnikov

doi:10.1117/12.2268542

17 March 2017 Detection of informative fragments for image quality assessment

M. V. Gashnikov, V. V. Myasnikov

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411F (2017) https://doi.org/10.1117/12.2268542
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

M. V. Gashnikov and V. V. Myasnikov "Detection of informative fragments for image quality assessment", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411F (17 March 2017); https://doi.org/10.1117/12.2268542

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