机译:通过中频稀疏表示和总变化正则化实现图像超分辨率
Xi An Jiao Tong Univ, Image Proc & Recognit Ctr, Xian 710049, Peoples R China|Xian Univ Posts & Telecommun, Sch Telecommun & Informat Engn, Xian 710121, Peoples R China;
Changan Univ, Sch Informat Engn, Xian 710064, Peoples R China;
Xian Univ Posts & Telecommun, Sch Telecommun & Informat Engn, Xian 710121, Peoples R China;
Xian Univ Posts & Telecommun, Sch Telecommun & Informat Engn, Xian 710121, Peoples R China;
Xian Univ Posts & Telecommun, Sch Telecommun & Informat Engn, Xian 710121, Peoples R China;
Xian Univ Posts & Telecommun, Sch Telecommun & Informat Engn, Xian 710121, Peoples R China;
superresolution; sparse representation; dictionary learning; total variation regularization; feature extraction; midfrequency component;
机译:使用总平方差的稀疏建模进行超分辨率干涉成像:在黑洞阴影成像中的应用
机译:基于总变化正则化低秩稀疏分解的多时相图像盲云和云影去除
机译:稀疏视图统计图像重建,改进了X射线微型CT成像的总变化正则化
机译:基于稀疏表示的具有非局部总变化正则化的MRI图像超分辨率
机译:从L 1正常化优化的Wannier函数的稀疏表示
机译:基于联合L1和总变化的稀疏视锥束X射线荧光计算机断层扫描正则化重建
机译:基于全变分正则化和群稀疏约束的遥感图像条纹噪声去除