An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios

13 Apr 2018 Wenxue Cui Heyao Xu Xinwei Gao Shengping Zhang Feng Jiang Debin Zhao

The compressed sensing (CS) has been successfully applied to image compression in the past few years as most image signals are sparse in a certain domain. Several CS reconstruction models have been proposed and obtained superior performance... (read more)

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Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Compressive Sensing Set5 LapCSNet Average PSNR improving about 0.2-0.3dB # 1

Methods used in the Paper


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