This paper proposes an image processing model which first, analyses the color characteristics of the degraded image. Using image processing techniques to enhance this kind of image remains very attractive because of its low-cost of implementation and typically its small number of parameters when compared to more complex learning techniques. Such environments provoke several combined degradations in images including color attenuation, blurring and low contrast. Įnhancing underwater images is a challenging problem owing to light scattering and absorption in underwater environments.

The underwater image of light after scattering can be expressed as the weighted sum of directly transmitted reflected light and scattered background light. In environments without blackbody emission, scattering often expands to multiple scattering, further dispersing the beam into homogeneous background light. As light reflected from objects proceeds towards the camera, a portion of the light meets these suspended particles, which absorbs and scatters the light (Fig. Haze is caused by suspended particles such as sand, minerals, and plankton that exist in lakes, oceans, and rivers. In Figure 1, for example, the yellow coral reef at the bottom of the image and the yellow fish in the upper-right corner are indistinct because of color cast the school of Carangidae, the diver, and the reef in the back are unclear due to scattering. Color scatter and color cast result in blurred subjects and lowered contrast in underwater images.

Capturing clear images underwater is challenging, mostly due to haze caused by color scatter in addition to color cast from varying light attenuation in different wavelengths. The effectiveness of applications such as underwater navigational monitoring and environment evaluation depend on the quality of underwater images.

clear images in underwater environments is an important issue of ocean engineering.

Colorcast animal