Image Enhancement of Underwater Habitat Using Color Correction Based on Histogram

Shamsuddin, Norsila and Wan Ahmad, Wan Fatimah and Baharudin, Baharum and Mohd Rajuddin, Mohd Kushairi and Mohd, Farahwahida (2011) Image Enhancement of Underwater Habitat Using Color Correction Based on Histogram. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 7066 . pp. 289-299. ISSN 0302-9743 (Print) 1611-3349 (Online)

Full text not available from this repository.

Official URL: http://www.springerlink.com/content/g63215xgu70340...


The visual of an underwater images sometimes does not representing the real world objects. Light absorption and diffusion somehow degrade the clarity of the images. In order to improve visualization of underwater images, an approach using color correction based on histogram is used. The reason why this approach is used is simply because it improves contrast by redistributing intensity distributions and computes a uniform histogram. Histogram in Photoshop is a graph that shows the digital image balance and also placement of the pixels in an image. A few examples are shown in this paper.

Item Type:Article
Subjects:T Technology > T Technology (General)
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:7093
Deposited By: Assoc Prof Dr Wan Fatimah Wan Ahmad
Deposited On:12 Dec 2011 07:25
Last Modified:01 Apr 2014 07:31

Repository Staff Only: item control page