DocumentCode
60867
Title
New Image Quality Evaluation Metric for Underwater Video
Author
Miao Yang ; Sowmya, Arcot
Author_Institution
Dept. of Electron. & Eng., Huaihai Inst. of Technol., Lianyungang, China
Volume
21
Issue
10
fYear
2014
fDate
Oct. 2014
Firstpage
1215
Lastpage
1219
Abstract
This work presents a new vectorial underwater image quality metric, dubbed the CQ, that integrates the power spectrum. Unlike existing objective underwater image quality metrics, the proposed metric consists of a discriminator C based on the slope of the log-contrast power spectrum that is able to distinguish between marine habitats when a large number of images of different environments are to be processed, and a patch-based metric Q to predict the objective quality of underwater images. Experimental results illustrate that the proposed CQ metric is able to recognize underwater images with similar sharpness and correlates better with enhancement results compared to other methods, and also meet real-time requirements.
Keywords
image enhancement; image restoration; CQ metric; discriminator; log-contrast power spectrum; marine habitats; objective quality; patch-based metric; vectorial underwater image quality metric; Cameras; Image color analysis; Image quality; Lighting; Measurement; Scattering; Spectral analysis; Contrast metric; no-reference image quality assessment; power spectrum; sharpness metric; underwater image;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2014.2330848
Filename
6839096
Link To Document