An Efficient Approach for Contrast Enhancement of Medical Image Using Dual Tree Complex Wavelet with High Pass Filter

ABSTRACT- Image processing is extensively used area for the research and this is used for various applications such as remote sensing image data, medical image and weather forecasting etc. In this we are mainly focusing on medical image data and to get enhance quality of medical image becomes very challenging task nowadays. The low contrast medical image is very critical to analyze and obtain false results from such image. A lot of techniques have been developed to improve the quality of image. In this paper, we propose Dual Tree Complex Wavelet Transform (DTCWT) with High Boost Filtering to improve the quality of medical image. Here first method is used for enhancing the contrast of image and subsequent filtering technique is used for sharpening or eliminating the noise and blur from the image. The simulation of our proposed method is done using the MATLAB2012a simulator which comprises several functions for image simulation and the comparative analysis of our methodology uses performance measuring metrics such as PSNR and MSE. The experimental results of our methodology give improved quality of image than the existing approach