Automatic System for Improving Underwater Image Contrast and Color Through Recursive Adaptive Histogram Modification
Contrast and color are important attributes to extract and acquire much information from underwater images. However, normal underwater images contain bright foreground and dark background areas. Previous enhancement methods enhance the foreground areas but retain darkness and blue-green illumination...
Saved in:
Main Authors: | Ahmad Shahrizan, Abdul Ghani, Mat Isa, Nor Ashidi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2017
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/18464/1/fkp-2017-shahrizan-Automatic%20system%20for%20improving%20underwater1.pdf http://umpir.ump.edu.my/id/eprint/18464/ http://dx.doi.org/10.1016/j.compag.2017.07.021 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image
by: Ahmad Shahrizan, Abdul Ghani
Published: (2018) -
Effect of colored light regimes on the stress response and RNA/DNA ratio of juvenile red sea bream, Pagrus major
by: Gunzo Kawamura, et al.
Published: (2017) -
Fish welfare: Improving fish culture method through modification of the light conditions
by: Mukai, Yukinori, et al.
Published: (2016) -
Modification of Lab color model for minimizing blue-green illumination of underwater vision system
by: Ahmad Shahrizan, Abdul Ghani, et al.
Published: (2019) -
Sustainable Fisheries Adaptation of Terubok Coastal
Area in Sarawak, Malaysia
by: Nur Syahmina, binti Abdul Ghanie, et al.
Published: (2019)