No-Reference Quality Assessment of Noise-Distorted Images Based on Frequency Mapping

No-Reference Quality Assessment of Noise-Distorted Images Based on Frequency Mapping

In this paper, we propose a no-reference image quality assessment (IQA) metric for noisedistorted images specifically based on frequency mapping (FM), namely, FMIQA index. First, we decompose the image into intrinsic mode functions (IMFs) from small to large scale by using bidimensional empirical mo...

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Bibliographic Details
Main Authors: Guangyi Yang, Yue Liao, Qingyi Zhang, Deshi Li, Wen Yang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
No-reference image quality assessment (NR-IQA)
frequency mapping (FM)
Riesz transform
bidimensional empirical mode decomposition (BEMD)
contrast sensitivity function (CSF)
Online Access:https://ieeexplore.ieee.org/document/8070944/

Internet

https://ieeexplore.ieee.org/document/8070944/

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