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Streaming Multigrid for Gradient-Domain Operations on Large Images

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The document presents a novel streaming multigrid solver designed for efficiently processing large linear systems in gradient-domain image processing, particularly for gigapixel images. It combines second-order finite elements, temporally blocked relaxation, and multi-level streaming to achieve fast convergence with minimal memory usage. The proposed method allows for seamless stitching and tone-mapping of high-resolution images using only two passes over the data, outperforming traditional solvers while maintaining accuracy suitable for practical applications.

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