sangmosummer

sangmosummer's Stars

• Lanneeee/Infrared-Small-Target-Detection-based-on-PSTNN

  This matlab code implements the infrared small target detection model based on partial sum of the tensor nuclear norm.

  Language:MATLAB441118

• inhail/HDR-infrared-images-detail-enhancement

  matlab code for 2016 HDR infrared images detail enhancement based on local edge preserving filter

  Language:Matlab39048

• hezw2016/DLS-NUC

  Testing code for "Zewei He, Yanpeng Cao, Yafei Dong, Jiangxin Yang, Yanlong Cao, and Christel-Löic Tisse, "Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: a deep-learning approach," Appl. Opt. 57, D155-D164 (2018)"

  Language:MATLAB383215

• MinjieWan/Infrared-image-enhancement-using-adaptive-histogram-partition-and-brightness-correction

  Language:MATLAB27014

• LifangzhouSia/1D-Weighted-Least-Square-Destriping-for-Uncooled-Infrared-Images

  Code for paper: Fangzhou Li, Yaohong Zhao, and Wei Xiang, Single-frame-based column fixed-pattern noise correction in an uncooled infrared imaging system based on weighted least squares, Applied Optics. 58, 9141-9153 (2019).

  Language:MATLAB16135

• LifangzhouSia/Colored-NLmeans-for-Infrared-Mixed-Noise-Removal

  文章代码：李方舟, 赵耀宏, 向伟, 刘海峥. 基于改进非局部均值的红外图像混合噪声去除方法[J]. 红外与激光工程, 2019, 48(S1): 163-173.

  Language:MATLAB14104

• LifangzhouSia/Multiscale-Low-Frequency-Non-Uniformity-Correction

  Language:MATLAB9137

• daxjuanxiong/infrared-small-target-images

  infrared small target images

  7201

• Alex-six/the-midway-histogram-equalization

  Efficient single image non-uniformity correction algorithm

  Language:MATLAB6013

• index19950919/infrared-small-target-detection

  images, codes and papers about infrared small taret detecion algorithm

  Language:MATLAB10

• roceezhao/cplusplus-_Implementation_Of_Introduction_to_Algorithms

  《算法导论》第三版中算法的C++实现

  Language:C++100

• zhonglingyuxiuYYX/CDN_MRF

  Testing code for CDN_MRF: Z. He, S. Tang, J. Yang, Y. Cao, M. Y. Yang, and Y. Cao, “Cascaded Deep Networks with Multiple Receptive Fields for Infrared Image Super-Resolution,” IEEE Trans. Circuits Syst. Video Technol., 2018. (Accepted)

  Language:MATLAB110