Wavelet Based Denoising of Images using MATLAB
In this video, Wavelet transform-based denoising of 2-D signals (Images) using MATLAB is explained. This video includes the following components,
* Noise Model: Theoretical Background.
* Denoising Scheme using Wavelet Transform.
* Use of ‘waveletAnalyzer’ MATLAB tool.
* Use of wdencmp() and ddencmp() MATLAB functions with example code.
* Use of wdenoise2() MATLAB function with example code.
Wavelet transform is a very powerful tool in the field of Signal and Image processing. It is also very useful in many other areas. Wavelet transform has proved to be very effective and efficient in the area of denoising.
* Noise Model: Theoretical Background.
* Denoising Scheme using Wavelet Transform.
* Use of ‘waveletAnalyzer’ MATLAB tool.
* Use of wdencmp() and ddencmp() MATLAB functions with example code.
* Use of wdenoise2() MATLAB function with example code.
Wavelet transform is a very powerful tool in the field of Signal and Image processing. It is also very useful in many other areas. Wavelet transform has proved to be very effective and efficient in the area of denoising.
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