Image Enhancement Using Dyadic Wavelet Transform
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Resource Overview
This is a MATLAB source code for image enhancement based on dyadic wavelet transform, successfully compiled and ready for execution.
Detailed Documentation
This code enables image processing through a dyadic wavelet transform-based enhancement algorithm. Written in MATLAB, the code is fully compiled and executable. It enhances image quality and sharpness by effectively reducing noise while improving contrast and detail visibility via dyadic wavelet decomposition. The implementation utilizes multi-scale analysis where wavelet coefficients are modified at different resolution levels to accentuate relevant features. Key functions include wavelet decomposition (using dyadic scales like 2^j), coefficient thresholding for noise suppression, and reconstruction with enhanced components. Users can adapt parameters such as decomposition levels, threshold values, and enhancement rules to optimize results for specific applications. This tool provides a robust foundation for achieving superior outcomes in image processing tasks.
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