Now days applications require various kinds of images as sources of information for interpretation and inspection. Image enhancement is method of applying different alterations to an input image to make the resultant image more pleasing or to provide a better transform presentation for future automated image processing techniques. Many images like medical images, images of satellites, and even real life photographs suffer from poor sharpness and noisy effects. This is essential to enhance the contrast and remove the noise to increase picture standard. One is presenting a review on various image enhancement techniques for sharpening enhancement. However, these techniques are able to bring noticeable changes in the images and sometimes also produces unwanted artifacts in many cases. These problems need to be resolved so that better enhancement may be performed in future work. This paper proposes a new work for enhancement by using artificial intelligence schemes. Image Enhancement is the process of improving the image quality for better visibility of images. The visibility and look of image will be decided by human eyes, which varies from person to person. The images resulted by quality measures made by hardware and software may not be always good and are not having natural look. Many methods are introduced to enhance images. Histogram Equalization is the method in which, the histograms of the input images are altered to obtain the enhanced images. Scattering and absorption of light in water leads to degradation of images captured under the water. This degradation includes diminished colors, low brightness and undistinguishable objects in the image. To improve the quality of such degraded images, we have proposed fusion based underwater image enhancement technique that focuses on improving of the contrast and color of underwater images using contrast stretching and Auto White Balance. Our proposed method is very simple and straightforward that contributes greatly in uplifting the visibility of underwater images.