期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：8-2
出版社：Seventh Sense Research Group
摘要：This paper presents image denoising and Gaussian noise reduction model using different techniques including discrete wavelet transform, adaptive histogram equalization and weiner filter. Wavelets are the latest research area in the field of image processing and enhancement. The results show a comparison of three mentioned techniques showing an improved visual quality in wavelet transform technique than other two older techniques and is effective for removing the Gaussian noise corrupted image alone. Wavelet analysis represents the next logical step a windowing technique with variablesized regions. Wavelet analysis allows the use of long time intervals where we want more precise lowfrequency information, and shorter regions where we want highfrequency information. Generally biomedical image is corrupted by Gaussian noise. So image denoising has become a very essential exercise all through the diagnose. 2D Discrete wavelet transform have been studied and an algorithm is developed to perform image denoising for Gaussian noise corrupted images using discrete wavelet transform. Results have been obtained using PSNR and MSE for three techniques. Processing time for different techniques implementation on MATLAB has also been framed. Gaussian noise reduction is another main criterion for determining the image quality objectively.
关键词：Discrete Wavelet Transform; Image Denoising and enhancement; Gaussian Noise
