An Image Based Technique for Enhancement of Underwater Images
C. J. Prabhakar, P. U. Praveen Kumar

TL;DR
This paper introduces a sequential image preprocessing method combining four filters to enhance underwater images by improving lighting, contrast, and clarity, facilitating better performance of subsequent computer vision tasks.
Contribution
It proposes a novel combination of filters, including bilateral filtering, for efficient underwater image enhancement with optimized parameters.
Findings
Enhanced image quality demonstrated through quantitative metrics like PSNR.
Qualitative improvements observed in edge detection results.
The method reduces computational time compared to anisotropic filtering.
Abstract
The underwater images usually suffers from non-uniform lighting, low contrast, blur and diminished colors. In this paper, we proposed an image based preprocessing technique to enhance the quality of the underwater images. The proposed technique comprises a combination of four filters such as homomorphic filtering, wavelet denoising, bilateral filter and contrast equalization. These filters are applied sequentially on degraded underwater images. The literature survey reveals that image based preprocessing algorithms uses standard filter techniques with various combinations. For smoothing the image, the image based preprocessing algorithms uses the anisotropic filter. The main drawback of the anisotropic filter is that iterative in nature and computation time is high compared to bilateral filter. In the proposed technique, in addition to other three filters, we employ a bilateral filter…
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Taxonomy
TopicsImage Enhancement Techniques · Image and Signal Denoising Methods · Advanced Image Fusion Techniques
