A reference-free underwater image quality assessment metric in frequency domain

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Ning Yang
  • Qihang Zhong
  • Kun Li
  • Runmin Cong
  • Yao Zhao

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number116218
Journal / PublicationSignal Processing: Image Communication
Volume94
Online published17 Mar 2021
Publication statusPublished - May 2021

Abstract

Owing to the complexity of the underwater environment and the limitations of imaging devices, the quality of underwater images varies differently, which may affect the practical applications in modern military, scientific research, and other fields. Thus, achieving subjective quality assessment to distinguish different qualities of underwater images has an important guiding role for subsequent tasks. In this paper, considering the underwater image degradation effect and human visual perception scheme, an effective reference-free underwater image quality assessment metric is designed by combining the colorfulness, contrast, and sharpness cues. Specifically, inspired by the different sensibility of humans to high-frequency and low-frequency information, we design a more comprehensive color measurement in spatial domain and frequency domain. In addition, for the low contrast caused by the backward scattering, we propose a dark channel prior weighted contrast measure to enhance the discrimination ability of the original contrast measurement. The sharpness measurement is used to evaluate the blur effect caused by the forward scattering of the underwater image. Finally, these three measurements are combined by the weighted summation, where the weighed coefficients are obtained by multiple linear regression. Moreover, we collect a large dataset for underwater image quality assessment for testing and evaluating different methods. Experiments on this dataset demonstrate the superior performance both qualitatively and quantitatively.

Research Area(s)

  • Dark channel prior weighting, Frequency domain, New dataset, Reference-free image quality assessment, Underwater image

Citation Format(s)

A reference-free underwater image quality assessment metric in frequency domain. / Yang, Ning; Zhong, Qihang; Li, Kun; Cong, Runmin; Zhao, Yao; Kwong, Sam.

In: Signal Processing: Image Communication, Vol. 94, 116218, 05.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review