Image Processing with Sine Noise Addition and Denoising
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Resource Overview
Implementation of sine wave noise addition to images along with MATLAB source code for noise elimination to enhance image quality and clarity.
Detailed Documentation
This image processing technique involves intentionally adding sinusoidal pattern noise to test images, followed by noise removal using MATLAB algorithms. The implementation typically utilizes sinusoidal noise generation functions like sin() or imnoise() with custom parameters to create periodic interference patterns. The denoising process may employ Fourier transform techniques (fft2/ifft2) for frequency-domain filtering, where the specific noise frequencies are identified and attenuated while preserving image details. Alternatively, wavelet-based denoising methods or adaptive filters can be implemented to separate noise components from the original image data, significantly improving visual quality and analytical usefulness for subsequent image processing tasks.
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