Source Code for Hadamard Transform on Square Images with Known Pixel Dimensions
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Resource Overview
Original implementation for performing Hadamard transform on square images with configurable parameters including transform order and pixel specifications, featuring adjustable transformation levels for diverse application scenarios.
Detailed Documentation
This implementation provides core source code for applying Hadamard transform to square images with predefined pixel dimensions. The algorithm employs recursive matrix decomposition to generate Hadamard matrices of specified orders, enabling efficient computation through butterfly-structured operations similar to FFT implementations. Key parameters such as transformation order can be dynamically configured via input arguments, allowing customization for different image processing requirements. The code structure supports modular parameter validation and boundary handling for robust performance across various image resolutions. Matrix normalization is automatically applied to ensure orthonormal transform properties, while maintaining computational efficiency through optimized Kronecker product operations for higher-order transformations.
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