ProjectsProject Details

Robust Underwater Image Compression

Project ID: 2155-1-15
Year: 2016
Student/s: Rotem Mulayoff, Ido Zoref
Supervisor/s: Yair Moshe, Azriel Sinai
Award: Wilk award

We describes here a JPEG based compression scheme, adjusted specific for the underwater acoustical channel. The project goal was to deal with common bit error rates for the underwater acoustic channel. Tow measures were used to quantify different solutions: compression ratio, which we tried to minimize, and SSIM, a measure that describes the quality of the image, which we tried to maximize. The scheme described in this report was inspired by initial research conducted by RAFAEL, common schemes to deal with errors in images, and intensive acquaintance with the international JPEG compression standard. The implemented scheme was tested on a variety of images and the results are described in detail in this report.

Poster for Robust Underwater Image Compression
Collaborators:
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RAFAEL