I. De Lotto

Papers

Total Citations

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About

I. De Lotto’s research centers on image processing and wavelet-based compression, with a particular focus on efficient, computationally scalable methods for digital imagery. Their most cited work, “Image compression by the wavelet decomposition” (1992, 19 citations), introduces a pioneering approach that combines Haar wavelet decomposition with a quadtree-structured hierarchical coding technique. This method achieves high compression efficiency while maintaining linear time complexity relative to the number of pixels—a significant advancement for real-time and resource-constrained applications. By leveraging the compact support of wavelets, De Lotto demonstrated how orthonormal bases could be practically applied to reduce image data without sacrificing quality. Though their citation count reflects a focused niche, the work’s conceptual clarity and algorithmic elegance have made it a foundational reference for subsequent studies in wavelet-based compression and hierarchical coding. De Lotto’s contribution stands out for its balance of theoretical rigor and practical utility, offering a clear path from mathematical decomposition to efficient implementation.