Author/Authors :
Hani Hojjati، Seyed نويسنده 1 Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran , , hosseinzadeh، Mohammad Reza نويسنده 2 Department of Information Technology, Mazandaran University of Science and Technology, Babol, Iran , , Reihanian، Ali نويسنده Department of Information Technology, Mazandaran University of Science and Technology, Babol, Iran ,
Abstract :
Owing to advances in medicine, with the increased demands on clinical services, quality enhancement of medical images attracts many attentions. The noise and contrast are the important issues related to the medical images. This paper proposes a new algorithm for noise reduction and contrast improvement of medical images which is based on wavelet transform. Firstly the imageʹs details are obtained by Haar transform. Then, the noise of the image is removed by stationary wavelet transform (SWT). After that, different methods of image fusion are employed to enhance the mentioned image. Finally, the image histogram is equalized by contrast limited adaptive histogram equalization (CLAHE). The simulation result indicates that the proposed algorithm significantly improves the quality of an image while removing its noise.
