Underwater Image Enhancement
Tejas M, Rahul R Patil, Rajashekar K K, Samarth R Patel, K DeepaShree
Wavelet fusion, CLAHE, Interference, Enhanced, Attenuation, Histogram Equalization
Images shot underwater are not always clear since they are taken in water and light behaves differently there. When trying to capture distant objects, underwater photographs are particularly prone to color distortion and a pronounced blue color predominance. Both light attenuation and light scattering have an impact on this. Even after restoring the image, I still need to use the histogram equalization approach to improve the colors. Depending on the working approach chosen and the resources at the designer's disposal, testing the outcomes can be done in a variety of ways. In our project, using wavelet fusion and CLAHE, we will demonstrate how to get rid of image interference and attempt to capture the precise colors of the item submerged. Because photos taken underwater are vulnerable to light dispersion and refraction, resulting in hazy images with little details, this project will assist individuals in performing object detection even if the image input is not particularly clear.
Article Details
Unique Paper ID: 159787

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 705 - 711
Article Preview & Download

Share This Article

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management


Last Date: 7th November 2023

Go To Issue

Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews