Modeling of Haze Image as Ill-Posed Inverse Problem & its Solution

Visibility Improvement is a great challenge in early vision. Numerous methods have been experimented. As the subject is random and different significant parameters are involved to improve the vision, it becomes difficult, sometimes unsolvable. In the process original image has to be retrieved back f...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of modern education and computer science Vol. 8; no. 12; pp. 46 - 55
Main Authors Roy, Sangita, Sinha Chaudhuri, Sheli
Format Journal Article
LanguageEnglish
Published Hong Kong Modern Education and Computer Science Press 08.12.2016
Subjects
Algorithms
Applied mathematics
Cognitive Development
Computer Science
Electronic Equipment
Inverse problems
Light
Mathematics
Seismology
Video Technology
Vision
Vision systems
World Problems
Online AccessGet full text
ISSN2075-0161
2075-017X
2075-017X
DOI10.5815/ijmecs.2016.12.07

Cover

More Information
Summary:Visibility Improvement is a great challenge in early vision. Numerous methods have been experimented. As the subject is random and different significant parameters are involved to improve the vision, it becomes difficult, sometimes unsolvable. In the process original image has to be retrieved back from a degraded version of the image which is often difficult to perceive. Thus the problem becomes ill-posed Inverse Problem. This has been observed that VI (Visibility Improvement) is associated with haze and blur. This complex nature requires probability distribution, estimation, airlight calculation etc. In this paper a combination of haze and blur model has been proposed with detail discussions.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2075-0161
2075-017X
2075-017X
DOI:10.5815/ijmecs.2016.12.07