Curvelet Transform Analysis and Denoising of Images using MATLAB
In this video, Curvelet Transform Analysis of Images using MATLAB is explained. Also Curvelet based denoising of noisy Images is elaborated with example MATLAB codes. This video includes the following components,
* Curvelet Transform: Theoretical Background.
* CurveLab: Curvelet Transform toolbox from www.curvelet.org.
* Curvelet Transform of an Image: MATLAB Code.
* Curvelet based denoising of an image: MATLAB Code.
Curvelet Transform is a very powerful tool, which has capability to capture details along the curvature in images. Therefore, it is very useful tool for feature extraction in the area of pattern recognition. It is also very efficient in image denoising.
* Curvelet Transform: Theoretical Background.
* CurveLab: Curvelet Transform toolbox from www.curvelet.org.
* Curvelet Transform of an Image: MATLAB Code.
* Curvelet based denoising of an image: MATLAB Code.
Curvelet Transform is a very powerful tool, which has capability to capture details along the curvature in images. Therefore, it is very useful tool for feature extraction in the area of pattern recognition. It is also very efficient in image denoising.
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