Image Resolution Enhancement in Underwater Applications

Abstract

The necessity to improve image resolution is of great concern in multiple diverse fields such as: medicine, communications, or satellite and underwater applications. A high variety of techniques for image enhancement has been proposed in the literature; nevertheless it is necessary to fairly validate this improvement effectively. This work is focused on a test environment that permits to objectively compare the quality enhancement of underwater images processed by two different improvement methods: bilinear interpolation and Super-Resolution (SR), showing that the proposed SR algorithm performs relatively well in this particular scenario. The quantitative comparison is based on the PSNR (Peak Signal-to- Noise Ratio) and the SSIM (Structural SIMilarity) index.