DFT-based no-reference quality assessment of blurred images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-11992-3.pdf
Reference53 articles.
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2. Athar S, Wang Z (2019) A comprehensive performance evaluation of image quality assessment algorithms. IEEE Access 7:140030–140070
3. Bahrami K, Kot AC (2014) A fast approach for no-reference image sharpness assessment based on maximum local variation. IEEE Signal Process Lett 21(6):751–755
4. Batten CF (2000) Autofocusing and astigmatism correction in the scanning electron microscope. Mphill thesis, University of Cambridge
5. Bong DBL, Khoo BE (2015) Objective blur assessment based on contraction errors of local contrast maps. Multimed Tools Appl 74(17):7355–7378
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