A Comprehensive Review on Various Image Dehazing Techniques

Haze is an atmospheric phenomena that occurs when dust, smoke, and other dry particulates suspended in the air obstruct visibility and image clarity. Particle dispersion in the atmosphere degrades captured images in foggy or hazy weathe r, lowering the contrast, changing colour, and impairing the ab...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeuroQuantology 2022-01, Vol.20 (14), p.841
Hauptverfasser: Abhishek, Ratan, Rajeev, Bansal, Mohit
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Haze is an atmospheric phenomena that occurs when dust, smoke, and other dry particulates suspended in the air obstruct visibility and image clarity. Particle dispersion in the atmosphere degrades captured images in foggy or hazy weathe r, lowering the contrast, changing colour, and impairing the ability of human perception and outdoor applications like transportation, object identification, image processing, and surveillance to identify object features. Image dehazing is used to remove the effects of weather on an image, improving aesthetics and making post-processing easier. To address the issue of image haze, we analysed the most important image dehazing techniques created over the previous decades in this paper. To begin, image enhancement, image filtering, and image restoration are the three categories of image dehazing. All techniques are analysed and relevant sub-categories are established based on principles and attributes. Also, the current application of image dehazing, comparison of various dehazing techniques has been discussed along with some new technologies for image dehazing. We have also discussed the design challengesor problem identified in the image dehazing techniques. Finally, we summarised study progress and offered future research areas, aswell as describing the flaws and consequences of present methodology and suggesting viable methods for overcoming the flaws in future prospectus images.
ISSN:1303-5150
DOI:10.4704/nq.2022.20.14.NQ880118