International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 119 - Number 23 |
Year of Publication: 2015 |
Authors: Richa Gupta, Zuber Farooqui |
![]() |
Richa Gupta, Zuber Farooqui . Underwater Image Clearance using Dark Channel and FFT Enhancement. International Journal of Computer Applications. 119, 23 ( June 2015), 21-25. DOI=10.5120/21377-4116
Due to the absorption and scattering, the clarity and therefore the observation of the depth of field of the image that is obtained by underwater physical phenomenon imaging are going to be reduced. This review paper deals with the ways to enhance underwater image improvement techniques, the process of underwater image captured is critical as a result of the standard of underwater pictures have an effect on and these image leads some serious issues compared to photographs from a clearer setting. plenty of noise happens thanks to low distinction, poor visibility conditions (absorption of natural light), non uniform lighting and small color variations, pepper noise and blur impact within the underwater pictures owing to of these reasons variety of ways are existing to cure these underwater pictures totally different filtering techniques also are obtainable within the literature for process and improvement of underwater pictures one in every of them is image improvement victimization median filter which boosts the image and facilitate to estimate the depth map and improve quality by removing noise particles with the assistance of various techniques, and therefore the alternative is RGB Color Level Stretching have used. This paper proposes AN efficient and quick underwater haze removal technique with quality improvement. This technique involves two phases. The primary section is employed to get rid of underwater haze from a picture that is victimization underwater haze removal technique supported previous data. Second section enhances quality of underwater hazy image improved visibility and noise reduction victimization FFT (Fast Fourier Transformation). This technique is often applied to any style of pictures like RGB Color, gray scale.