05-02-2013, 02:19 PM
Underwater Image Enhancement by WavelengthCompensation and Dehazing
Underwater Image.ppt (Size: 2.01 MB / Downloads: 66)
ABSTRACT
Light scattering and color change are two major sources of distortion for underwater photography. Light scattering is caused by light incident on objects reflected and deflected multiple times by particles present in the water before reaching the camera. This in turn lowers the visibility and contrast of the image captured. Color change corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. No existing underwater processing techniques can handle light scattering and color change distortions suffered by underwater images, and the possible presence of artificial lighting simultaneously.
Introduction
The quality of underwater images plays a pivotal role in scientific missions such as monitoring sea life, taking census of populations, and assessing geological or biological environments. Capturing images underwater is challenging, mostly due to haze caused by light that is reflected from a surface and is deflected and scattered by water particles, and color change due to varying degrees of light attenuation for different wavelengths. Light scattering and color change result in contrast loss and color deviation in images acquired underwater. The algorithm for wavelength compensation and image dehazing (WCID) proposed in this project combines techniques of WCID to remove distortions caused by light scattering and change.
EXISTING SYSTEM
ACQUIRING clear images in underwater environments is an important issue in ocean engineering.
Haze caused by light that is reflected from a surface and is deflected and scattered by water particles, and color change due to varying degrees of light attenuation for different wavelengths.
Techniques targeting on removal of light scattering distortion include exploiting the polarization effects to compensate for visibility degradation using image dehazing.
Combining point spread functions and a modulation transfer function to reduce the blurring effect.
Multi color lights are used
Proposed System
Segmentation of foreground and background.
Compensation of light scattering & color change along the lath d(x)
Wavelength compensation and image dehazing (WCID) are used
Techniques targeting on removal of light scattering distortion include exploiting the polarization effects to compensate for visibility degradation using image dehazing.
Compensation of color change along the course of propagation D through D+R.
Datasets using edge based techniques.