Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution

1 Feb 2019Oleksii SidorovJon Yngve Hardeberg

Deep learning algorithms have demonstrated state-of-the-art performance in various tasks of image restoration. This was made possible through the ability of CNNs to learn from large exemplar sets... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Hyperspectral Image Denoising HYDICE DC Mall Deep HS (prior 3D) MPSNR 23.24 # 1
MSSIM 0.852 # 1
SAM 9.91 # 1
Hyperspectral Image Inpainting Indian Pines Deep HS (prior 3D) MPSNR 35.34 # 1
MSSIM 0.966 # 1
SAM 1.133 # 1
Hyperspectral Image Super-Resolution ROSIS-03 Deep HS (prior 3D) MPSNR 32.31 # 1
MSSIM 0.945 # 1
SAM 4.692 # 1

Methods used in the Paper


METHOD TYPE
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