scholarly journals Translation-Invariant Contourlet Transform and Its Application to Image Denoising

2006 ◽  
Vol 15 (11) ◽  
pp. 3362-3374 ◽  
Author(s):  
R. Esla ◽  
H. Radha
Keyword(s):  
Image Denoising ◽  
Contourlet Transform ◽  
Translation Invariant

Non-Subsampled Contourlet Transform-Based Effective Denoising of Medical Images

2019 ◽  
pp. 155-183
Author(s):  
Karthikeyan P. ◽  
Vasuki S. ◽  
Karthik K.
Keyword(s):  
Image Analysis ◽  
Edge Detection ◽  
Image Enhancement ◽  
Image Denoising ◽  
Medical Images ◽  
Noise Removal ◽  
Contourlet Transform ◽  
Nonsubsampled Contourlet Transform ◽  
Shift Invariance ◽  
Image Edges

Noise removal in medical images remains a challenge for the researchers because noise removal introduces artifacts and blurring of the image. Developing medical image denoising algorithm is a difficult operation because a tradeoff between noise reduction and the preservation of actual features of image has to be made in a way that enhances and preserves the diagnostically relevant image content. A special member of the emerging family of multiscale geometric transforms is the contourlet transform which effectively captures the image edges and contours. This overcomes the limitations of the existing method of denoising using wavelet and curvelet. But due to down sampling and up sampling, the contourlet transform is shift-variant. However, shift-invariance is desirable in image analysis applications such as edge detection, contour characterization, and image enhancement. In this chapter, nonsubsampled contourlet transform (shift-invariance transform)-based denoising is presented which more effectively represents edges than contourlet transform.

A New Adaptive Image Denoising Method Based on The Nonsubsampled Contourlet Transform Algorithm

2009 ◽  
Vol 29 (8) ◽  
pp. 2147-2152
Author(s):  
武晓玥 Wu Xiaoyue ◽  
郭宝龙 Guo Baolong ◽  
唐璐 Tang Lu ◽  
李雷达 Li Leida
Keyword(s):  
Image Denoising ◽  
Contourlet Transform ◽  
Nonsubsampled Contourlet Transform ◽  
Denoising Method

Research on Adaptive Optics Image Denoising Algorithm Based on the Wavelet-Based Contourlet Transform

2015 ◽  
Vol 52 (11) ◽  
pp. 111001
Author(s):  
李东明 Li Dongming ◽  
盖梦野 Gai Mengye ◽  
李超然 Li Chaoran ◽  
张丽娟 Zhang Lijuan
Keyword(s):  
Image Denoising ◽  
Adaptive Optics ◽  
Contourlet Transform
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