Image Enhancement with Different Techniques and Aspects

With the help of Image enhancement techniques we can process an image in order to make it more appropriate for certain applications. The motive of Image enhancement is to explore the detail hidden in an image or to increase the contrast in a low contrast images. The image enhancement process try to find to increase the interpretability or perception of information in the images to provide better input for other automated image processing steps. A benefactor of image enhancement either may be a human observer or a computer vision program performing some kind of higher-level image analysis, such as target detection or scene understanding. Image enhancement involves mainly two techniques a simple histogram-modifying point operations or spatial digital filtering. Some of more complex methods involve modifying the image content in another domain, such as the coefficient domain of a linear transformation of the image and in this paper we are going to do a modification in hypothesis selection filter by using the concept of global mean and global variance with localisation function. Keywords-Image enhancement, Image Processing , Global Mean & Variance.