Enhancement of Underwater Image Restoration based on Multi Thresholding Algorithm

Authors

  • Mallem Kishorereddy  PG Scholar, Department of ECE, Siddartha Educational Academy Group of Institutions, C. Gollapalli, Andhra Pradesh, India.
  • T. Venkata Ramana   Assistant Professor, Department of ECE, Siddartha Educational Academy Group of Institutions, C. Gollapalli, Andhra Pradesh, India

Keywords:

Pre-processing, Adaptive Histogram analysis, MATLAB 2013a Version, R-Plane, B-Plane Separation, Multithreshold Algorithm, Pixel Averaging

Abstract

Underwater imaging is a challenging task due to the presence of various optical distortions, such as scattering, absorption, and color cast. This paper presents an approach for enhancing underwater images using a multi-thresholding algorithm in MATLAB 2013a Version. The proposed method includes several key steps, including input image preprocessing, adaptive histogram analysis, R-plane and B-plane separation, multi-threshold algorithm, pixel averaging, normalization, and reconstruction. Initially, the input image undergoes preprocessing to remove noise and enhance contrast. Adaptive histogram analysis is then performed to adjust the image's dynamic range and enhance the visibility of details. R-plane and B-plane separation is utilized to separate the color channels and isolate the red and blue components, which are most affected by underwater distortions. Next, a multi-thresholding algorithm is employed to segment the image into different regions based on intensity levels. This step aims to identify the underwater regions and the non-underwater regions accurately. Afterward, pixel averaging is applied to the underwater regions to reduce noise and improve image quality. Normalization is performed to enhance the visibility of details in the restored image by stretching the intensity values across the entire dynamic range. Finally, the restored image is reconstructed by combining the enhanced underwater regions with the non-underwater regions. To evaluate the performance of the proposed method, several comparative parameters are used, including Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), and S-Index. These parameters provide quantitative measures of image quality, sharpness, and similarity to the ground truth. The experimental results demonstrate that the proposed approach effectively restores underwater images, significantly reducing the impact of optical distortions. The comparative analysis shows improved image quality, with higher PSNR values, lower MSE values, and enhanced S-Index scores when compared to other existing methods. The implementation of the proposed approach in MATLAB 2013a Version provides an efficient and accessible solution for underwater image restoration.

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International Journal of Scientific Research in Science and Technology

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Published

2023-08-30

Issue

Volume 10, Issue 4, July-August-2023

Section

Research Articles

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How to Cite

[1]
Mallem Kishorereddy, T. Venkata Ramana "Enhancement of Underwater Image Restoration based on Multi Thresholding Algorithm" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 4, pp.168-177, July-August-2023.