Image Enhancement Using Dwt

The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to provide `better' input for other automated image processing techniques. Image Enhancement process is use to enhances the original image into the good image according to quality. The aim is to enhance the features of original image for the better output. In this paper, we propose image enhancement technique such as DWT (Discrete Wavelet Transform) and image segmentation is a popular approach and has been widely used in many display related fields, such as consumer electronics, medical analysis, and so on. we use 3Level of DWT to filter the original image with low pass and high pass filters to remove the unwanted information and fuzzy c-mean clustering segmentation technique partitioning a digital image into multiple segments i.e. set of pixels, pixels in a region locate n are similar according to some homogeneity criteria such as color, texture, or intensity to identify and locate boundaries and an object in an image. The quality of segmentation results of different images are evaluated using PSNR and MSE values.