ExplainS2A reformulates spectral super-resolution of multispectral images as spatial super-resolution using spectral-spatial duality and solves it with an explainable deep unfolding and fusion network for fast high-fidelity hyperspectral output.
Image denoising by sparse 3-D transform-domain collaborative filtering
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A quadtree-partitioned mixture autoregressive generative model reduces MAP image denoising to variational lower bound maximization, optimized by alternating variational Bayes and exact gradient updates.
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ExplainS2A: Explainable Spectral-Spatial Duality Model for Fast Transforming Sentinel-2 Image to AVIRIS-Level Hyperspectral Image
ExplainS2A reformulates spectral super-resolution of multispectral images as spatial super-resolution using spectral-spatial duality and solves it with an explainable deep unfolding and fusion network for fast high-fidelity hyperspectral output.
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A Mixture Autoregressive Image Generative Model on Quadtree Regions for Gaussian Noise Removal via Variational Bayes and Gradient Methods
A quadtree-partitioned mixture autoregressive generative model reduces MAP image denoising to variational lower bound maximization, optimized by alternating variational Bayes and exact gradient updates.