2D Matching Pursuit Algorithm

The 2D Matching Pursuit algorithm achieves precise image reconstruction using fewer subspace comparisons, with progressively improved approximation to the source image as iteration count increases. Implementation typically involves greedy iterative selection of optimal dictionary atoms and residual updates.