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Underwater imaging is primarily focused on search and rescue, underwater mine detection, underwater cable and pipeline overhauling and underwater geological survey. Main challenge in underwater imaging is blurriness. In underwater environment blurriness is caused by many factors which includes microscopic organism, impurities and density of water which effects refractive index of water, and bokeh...
Due to their inherent architecture, the discrete time model of Cellular nonlinear networks (CNNs) for image processing are well suited candidates for efficient implementation using massively parallel architectures. This paper proposes an implementation model for GPU architectures and highlights the advantages over the CPU version, using nVidia's CUDA platform.
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