Image Fusion Using Laplacian Pyramid Method
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The Laplacian pyramid method enables the fusion of two images captured with different focal points. This approach significantly improves image clarity by combining the sharp regions from each input image while minimizing their respective blurry areas. The implementation typically involves constructing Gaussian and Laplacian pyramids for both images, then selectively merging corresponding pyramid levels based on focus measures. Key functions include pyrup() and pyrdown() for pyramid generation, and amplitude-based fusion rules at each pyramid level. This image fusion technique finds applications in medical imaging, computer vision, and computational photography. Through Laplacian pyramid processing, we can better analyze and utilize image features for practical implementations, often achieved via OpenCV's pyramid functions or custom MATLAB implementations with focus measure algorithms like variance of Laplacian.
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