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| Paper Disease Image Reconstruction Based on BCS-SPL Algorithm |
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| DOI：10.11980/j.issn.0254-508X.2016.12.006 |
| Key Words:compressed sensing reconstruction algorithm of BCS-SPL reconstruction of paper disease image |
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| Abstract:With the growing of the speed and the width of paper machine, the traditional paper disease detection faces the problem of transfering a large number of data and the real-time processing. Compressed sensing theory can effectively reduce the amount of data, but the quality of reconstructed paper disease image is not good when it is applied to two-dimensional paper disease image. In this paper, we used the BCS-SPL reconstruction algorithm to reconstruct the paper disease image, focusing on the reconstruction result of the algorithm under different sampling rates and different block sizes. The experimental results showed that in the compressed sensing framework, the low sampling rate paper disease image reconstructed by BCS-SPL algorithm had high image quality, which could effectively reduce the transmission of paper image data． |
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