A Method of Removing Rain or Snow from A Color Image using MATLAB · Alnoor Digital Repository

Title: A Method of Removing Rain or Snow from A Color Image using MATLAB
Abstract: Background: Poor weather conditions, such as rain
or snow, may seriously degrade the quality of color photographs.
This deterioration may impact various domains, such as
surveillance systems, outdoor visibility, and image-based analysis
in areas such as computer vision and remote sensing.
Objective: The main aim of this study is to offer a unique
approach for rapidly removing rain or snow from color
photographs using MATLAB while retaining the image's original
quality and features.
Methods: This article uses the L0 gradient minimization
approach to target and eliminate rain pixels. Rather than relying
simply on local features, this global technique finds and retains
critical edges across the picture. After removing the rain, the
picture quality is improved further by modifying the histogram to
boost contrast. The approach incorporates color correction and
enhancement methods inspired by many sources to ensure
accuracy in the rain or snow removal procedure.
Results: The results show this strategy works well, even in
severe rain. It not only eliminates rain successfully, but it also
keeps important picture features. However, thorough removal
may demand reducing overall picture quality in severe rain or
snow.
Conclusion: The suggested approach may provide a viable
option for effectively eliminating rain or snow from color
photographs, improving visual interpretation and analysis in
various applications. This strategy significantly advances image
processing and computer vision by addressing the problems
caused by poor picture quality due to severe weather conditions.
Scientific Type: غير معروف
Link: https://fruct.org/publications/volume-35/fruct35/
Journal volume: vol.35,No.1
Collaboration type: مشترك
Publish Date: April 26, 2024
Participated Universities (Publication): Alnoor University
Scopus status: In Scopus
Scopus index year: 2 024
Scopus citation score: 0
Clarivate status: Not In Clarivate
Pub. Med. status: Not In PubMed
Author (Publication): محمد ياسين عبدالله عبدالرحمن
Journal (Publication): PROCEEDING OF THE 35TH CONFERENCE OF FRUCT ASSOCIATION
Publisher (Publication): IEEE Computer Society
ISSN: 2305-7254
Country (Publication): Russian Federation
Country type: عالمية
College (Publication): College of Education
Departement (Publication): Department of Computer Science

Media: Academic paper