TY  - JOUR
SN  - 03029743
EP  - 299
AV  - none
N1  - cited By 9; Conference of 2nd International Visual Informatics Conference, IVIC 2011 ; Conference Date: 9 November 2011 Through 11 November 2011; Conference Code:87315
TI  - Image enhancement of underwater habitat using color correction based on histogram
SP  - 289
Y1  - 2011///
A1  - Shamsuddin, N.Bt.
A1  - Wan Ahmad, W.F.Bt.
A1  - Baharudin, B.B.
A1  - Mohd Rajuddin, M.K.B.
A1  - Mohd, F.Bt.
JF  - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-81255193891&doi=10.1007%2f978-3-642-25191-7_28&partnerID=40&md5=c71e6fe473f7aaa06dd05014750a891f
VL  - 7066 L
CY  - Selangor
IS  - PART 1
N2  - 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. © 2011 Springer-Verlag.
ID  - scholars1816
KW  - Color correction; Digital image; Histogram equalizations; Intensity distribution; PhotoShop; Real-world objects; Underwater habitat; Underwater image; Visual informatics
KW  -  Flow visualization; Image segmentation; Pixels; Visualization
KW  -  Information science
ER  -