A survey of sand-dust image visual enhancement techniques

Abstract

The visual enhancement technology of sandstorm images aims to improve the visual perception clarity of the captured data by imaging equipment under sandstorm weather, assisting high-level vision algorithms to enhance the ability to obtain key features from the data. With the increasing frequency of sandstorm weather, sandstorm image visual enhancement technology has gradually become a research hotspot in the field of image processing and has a very wide range of applications in AI-related industries， such as remote sensing surveys, unmanned driving, and smart transportation. To better understand the current research progress in the field of sandstorm image processing, this paper elaborates in detail on sandstorm image enhancement algorithms based on traditional technology, sandstorm image restoration algorithms based on atmospheric scattering models, and summarizes data-driven sandstorm image reconstruction algorithms. It also conducts a detailed study and analysis of the construction of current public datasets and briefly sorts out the evaluation indicators commonly used in the image enhancement field. Finally, a summary of the above content is made, pointing out the difficulties existing in current research and prospects for the development direction of future sandstorm image enhancement technology.

Keywords

• image enhancement
• sand-dust image
• computer vision
• deep learning