期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：2
页码：564-567
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In the diverse fields of life, Digital Imaging is the part and parcel, from education to medical such as clinical diagnosis or medical imaging. But it reckons with the difficulty due to Gaussian Noise, thus both the images and videos are devoured. Noisy images are not much to look at; therefore the image denoising process is needed. Images may be ill-defined with the noise so that it conceals the fine details in the image. Here, the idea behind this Denoising algorithm is to improve the pictorial information by enabling the noise-free modifications of an image. This paper is intent to accomplish the performance assessment of the noise depletion methods on the Brain Computed Tomography (CT) images with the combination curvelet transformation along with various filters. This work propounds a Curvelet Transformation founded image denoising which is composited with Gabor filter, median filter and wiener filter in the place of low pass filtering in the transform domain and results conclude that wiener filter gives better result.
关键词：Coefficient of Correlation (CoC); Computed ; Tomography; Curvelet Transform; Denoising; Gabor Filter; Mean ; Square Error (MSE); Peak Signal to Noise Ratio (PSNR).
