DWT, SWT, and Enhanced IDWT for Image Resolution Improvement
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Resource Overview
Detailed Documentation
This project delivers a complete framework for image resolution enhancement by implementing Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT), followed by an enhanced Inverse Discrete Wavelet Transform (IDWT) reconstruction process. The implementation involves multi-level wavelet decomposition using functions like wavedec2() for DWT and swt2() for SWT, which separate image components into approximation and detail coefficients across different frequency bands. The enhancement phase incorporates advanced coefficient processing algorithms - including threshold-based denoising and high-frequency coefficient strengthening - before reconstruction through idwt2() or iswt2() functions. This wavelet-based approach effectively improves image quality and clarity by preserving important edge information while reducing artifacts, producing visually superior results compared to traditional interpolation methods.
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