Enhancing Image Compression Process using Thresholding Haar Transform for X-Ray Imaging

ABSTRACT In image enhancement, x-ray imaging is based on a peculiar approach which is haar transform. Haar transform has proven to be very effective and is used to decompose the high frequency sub images of wavelets, this helps us to extract high frequency information effectively. Thresholding is a powerful method and is to create binary images from a grayscale image. Haar transform requires only additions so the computation time is short. Thresholding haar transform model is designed for medical images to transmit images over the network , it reduce the memory size. The performance evaluation of the image quality is measured using compression ratio. It produces high compression ratio and running time is very less for different haar compression key value with good compressed image quality. Keywords: Haar Transform, Thresholding, Image Compression, PSNR