Visibility Restoration: A Systematic Review and Meta-Analysis

Sensors (Basel). 2021 Apr 8;21(8):2625. doi: 10.3390/s21082625.

Abstract

Image acquisition is a complex process that is affected by a wide variety of internal and environmental factors. Hence, visibility restoration is crucial for many high-level applications in photography and computer vision. This paper provides a systematic review and meta-analysis of visibility restoration algorithms with a focus on those that are pertinent to poor weather conditions. This paper starts with an introduction to optical image formation and then provides a comprehensive description of existing algorithms as well as a comparative evaluation. Subsequently, there is a thorough discussion on current difficulties that are worthy of a scientific effort. Moreover, this paper proposes a general framework for visibility restoration in hazy weather conditions while using haze-relevant features and maximum likelihood estimates. Finally, a discussion on the findings and future developments concludes this paper.

Keywords: haze removal; image defogging; image dehazing; meta-analysis; systematic review; visibility enhancement.

Publication types

  • Review

Grants and funding