Quantitative image quality evaluations of enhanced images in turbid water medium

G. L. Gerald Seet, Andrzej Sluzek, Chingseong Tan

Research output: Journal PublicationConference articlepeer-review

2 Citations (Scopus)


In order to improve underwater visibility, general considerations are planned in two stages. There is hardware upgrading followed by system optimization stage. For the former, we choose to improve the underwater visibility with advanced techniques - range gated imaging system, and the optimization in terms of image processing techniques. Four selected image enhancement technique has been tested, namely Contrast Stretching, CLAHE, Illumination-reflectance Model and Homomorphic Filtering. Quantitative image quality measures are used to evaluate the enhanced imaging techniques. Three image assessment techniques are used to quantify image quality of the imaging system in increased turbidity condition, namely Modified Fidelity (MF), Modified Strehl Ratio (MSR2), and Contrast-to-Noise Ratio (CNR). In the first stage, the quantitative measures have shown at least 40% improvement from non-gated to gated images in increased turbidity. Finally, the enhancement techniques further improve the gated images with limited noise amplification issues.

Original languageEnglish
Article number10
Pages (from-to)67-73
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5852 PART I
Publication statusPublished - 2005
Externally publishedYes
EventThird International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics - Singapore, Singapore
Duration: 29 Nov 20041 Dec 2004


  • Contrast Stretching
  • Homomorphic
  • Quantitative Image Quality Index
  • Range-Gated

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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