@inproceedings{scholars2822, volume = {1}, address = {Kuala Lumpur}, title = {Significance level of image enhancement techniques for underwater images}, pages = {490--494}, doi = {10.1109/ICCISci.2012.6297295}, journal = {2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings}, year = {2012}, note = {cited By 31; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334}, abstract = {Underwater imaging is quite a challenging in the area of photography especially for low resolution and ordinary digital camera. There are a few problems occur in underwater images such as limited range visibility, low contrast, non uniform lighting, blurring, bright artefacts, color diminished and noise. This paper concentrates on color diminished. Significant application of standard computer vision techniques to underwater imaging is required in dealing with the said problems. Both manual and auto level techniques are used to record the mean values of the stretched histogram. The objective of the paper is to identify which technique is more significant in terms of color correction. It is hoped that the finding will benefit to non divers to visualize the underwater as the real underwater world. {\^A}{\copyright} 2012 IEEE.}, author = {Bt Shamsuddin, N. and Bt Wan Ahmad, W. F. and Baharudin, B. B. and Rajuddin, M. K. B. M. and Bt Mohd, F.}, keywords = {Color correction; Computer vision techniques; Enhancement techniques; Low contrast; Low resolution; Mean values; Underwater image, Color; Flow visualization; Information science; Technology; Underwater imaging, Computer vision}, isbn = {9781467319386}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867903489&doi=10.1109\%2fICCISci.2012.6297295&partnerID=40&md5=2181d20feb6e9db3080c3bc0d153743c} }