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...
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/ http://umpir.ump.edu.my/id/eprint/18464/ http://umpir.ump.edu.my/id/eprint/18464/ http://umpir.ump.edu.my/id/eprint/18464/1/fkp-2017-shahrizan-Automatic%20system%20for%20improving%20underwater1.pdf |
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) -
Modification of Lab color model for minimizing blue-green illumination of underwater vision system
by: Ahmad Shahrizan, Abdul Ghani, et al.
Published: (2019) -
Nonlinear Local-pixel-shifting Color Constancy Algorithm
by: Wan Muhammad Syahrir, Wan Hussin, et al.
Published: (2018) -
Fish welfare: Improving fish culture method through modification of the light conditions
by: Mukai, Yukinori, et al.
Published: (2016) -
A New Approach in a Gray-Level Image Contrast Enhancement by using Fuzzy Logic Technique
by: Hussain K., Khaleaf, et al.
Published: (2015)