Visibility restoration: A systematic review and meta-analysis

15Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Ngo, D., Lee, S., Ngo, T. M., Lee, G. D., & Kang, B. (2021, April 2). Visibility restoration: A systematic review and meta-analysis. Sensors. MDPI AG. https://doi.org/10.3390/s21082625

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free