DPH-DUN is a new deep unfolding network for compressive sensing that partitions measurements into dual paths, learns hyperprior knowledge, and applies it via adaptive step sizes and attention to improve reconstruction of textured images.
Single-pixel imaging via compressive sampling.IEEE Signal Processing Magazine, 25(2):83–91
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Dual-Path Hyperprior Informed Deep Unfolding Network for Image Compressive Sensing
DPH-DUN is a new deep unfolding network for compressive sensing that partitions measurements into dual paths, learns hyperprior knowledge, and applies it via adaptive step sizes and attention to improve reconstruction of textured images.