This dissertation mainly studies EIT image reconstruction algorithms with the aim of increasing precision and spatial resolution of EIT.
本论文以提高图像空间分辨率和成像精度为目标，着重研究EIT图像重建算法。
This research discusses the raw data compression and color image reconstruction algorithms based on image sensor and proposes some post-processing algorithms after image reconstruction.
论文研究了基于图像传感器的原始数据压缩及其彩色图像重构算法以及重构后图像的后续处理算法。
The current MRI reconstruction algorithms simply use either the sparse priors or the local smooth priors of MRI image, and result in the inferior reconstruction.
目前MRI重构算法只利用MRI图像稀疏性表示或只利用基于其局部光滑性的先验知识，重构效果不理想。
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