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Underwater Optical Image Coding for Marine Health Monitoring Based on DCT


Mohammad Kazem Moghimi and Farahnaz Mohanna*   Pages 1 - 15 ( 15 )


Background: Optical imaging in the underwater environment to monitor marine objects is now a hot topic of research which can be used for environmental healthcare systems through the underwater ecosystem. Among different areas of research, image coding techniques are widely applied to compress data for reliable communications. One of the challenges faced during the underwater communications is having a low bit rate in acoustic links, particularly while doing imaging in deep waters (in this condition, light needed for imaging is provided by a power supply).

Methods: Two Dimensional-Discrete Cosine Transform (2D-DCT) is the main technique that we want to use for image compression, to test two different patch sizes in 2D-DCT to study the patch size effect on the quality of compression, execution time and preservation ability of highfrequency information in edges.

Results: The results clearly show that a larger patch size can always be better in terms of computational complexity, quality of coded images and also edge preservation when we use DCT for the compression process.

Discussion: Although this research approves the approach of JPEG codec once again for using the largest sub-image block in image compression (in terms of similarity and complexity), however, the use of an edge preservation factor is a new finding for our research. On the other hand, using the largest patch size is not a general approach for all image processing applications, because some studies have shown that smaller patch may be more effective for some other applications.


Marine health, underwater optical imaging, image compression, discrete cosine transform.


Department of Communication Engineering, University of Sistan and Baluchestan, Zahedan, Department of Communication Engineering, University of Sistan and Baluchestan, Zahedan

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