Underwater image processing and analysis: A review

With increasing attentions being drawn to the underwater observation and utilization of marine resources in recent years, underwater image processing and analysis have become an active research hotspot. Different from the general images, marine environment is usually faced with some complicated situations such as underwater turbulence and diffusion, severe absorption and scattering of water body, various noises, low contrast, uniform illumination, monotonous color, complex underwater-background. In response to these typical challenges, a large body of works in underwater image processing has been exploited in recent years. This survey introduces a review of existing relatively mature and representative underwater image processing models, which are classified into seven categories including enhancement, fog removal, noise reduction, segmentation, salient object detection, color constancy and restoration. We then objectively evaluate the current situations and future development trend of underwater image processing, and provide some insights into the prospective research directions to promote the development of underwater vision and beyond.

Automated summary

With increasing attention on underwater observation and marine resource utilization, underwater image processing has become a hot research topic. Different from general images, marine environments face various challenges such as underwater turbulence, severe absorption and scattering of water, noises, low contrast, and complex backgrounds. Recent works have made significant progress in addressing these challenges through a variety of processing models. Objective evaluation of current situations and future trends in underwater image processing provide insights to promote the development of underwater vision technologies and beyond.