Contour Function Implementation for Wavelet Denoising in MATLAB
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In this article, we demonstrate wavelet denoising using MATLAB's contour function. Wavelet denoising represents a widely adopted image processing technique that employs global soft-thresholding to achieve unbiased image estimation. The implementation typically involves wavelet decomposition using functions like wavedec2, followed by threshold application with wthresh. Additionally, we explore alternative methods including homomorphic filtering (implemented via fft2 and ifft2 operations) and heuristic soft-thresholding denoising for enhanced noise reduction. These approaches effectively minimize image noise through systematic coefficient thresholding, resulting in clearer and more authentic image outputs. The contour function can be utilized to visualize denoising results by plotting threshold boundaries and coefficient distributions.
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