Image Fusion Using Contourlet Transform with Algorithm Implementation
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Resource Overview
Application Background: This MATLAB code performs fusion of two source images captured with different focal regions to generate a composite image with uniform focus distribution. Technical Approach: The implementation leverages Contourlet transform-based multi-scale decomposition to enhance fusion quality by preserving directional texture details and edge information through pyramidal directional filter banks.
Detailed Documentation
Application Background
This code implements image fusion for two source images where each image has distinct focal regions. The algorithm combines them to produce a composite image with comprehensive focus coverage across all areas.
Technical Approach
The fusion process utilizes the Contourlet transform, a multi-scale and multi-directional image decomposition technique. The implementation involves:
1. Multi-scale decomposition using Laplacian pyramid to capture edge discontinuities
2. Directional filter banks to link point discontinuities into linear structures
3. Coefficient fusion rules combining maximum selection and weighted averaging for high/low-frequency components
Key functions include contourlet decomposition/reconstruction and region-based activity measurement for optimal coefficient selection. This approach significantly improves texture preservation and edge sharpness in fused images compared to wavelet-based methods.
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