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.
Compressive sensing reconstruction algorithm using l1-norm minimization via l2-norm minimization.In- ternational Journal on Electrical Engineering & Informat- ics, 10(1)
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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.