/Generalized-Smoothing-Framework

This is the released code for the following papers: A generalized framework for edge-preserving and structure-preserving image smoothing. Liu W, et al., TPAMI 2021, AAAI 2020

Primary LanguageMATLABMIT LicenseMIT

Generalized-Smoothing-Framework

This is the released code for the following papers:

"A generalized framework for edge-preserving and structure-preserving image smoothing", Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang and Michael Ng. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. [paper on arXiv]

"A generalized framework for edge-preserving and structure-preserving image smoothing"", Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang and Ian Reid. Proceedings of the AAAI Conference on Artificial Intelligence, 2020. [paper on arXiv]

Note:

Run the "mexFile.m" function in the "funs" folder to compile the code before running the example code.

Related Work:

  1. "Semi-global weighted least squares in image filtering.", Wei Liu, Xiaogang Chen, Chuanhua Shen, Zhi Liu, and Jie Yang. In ICCV 2017. Code
  2. "Robust Color Guided Depth Map Restoration.", Wei Liu, Xiaogang Chen, Jie Yang and Qiang Wu. IEEE Transactions on Image Processing, 2017. Code
  3. "Real-time Image Smoothing via Iterative Least Squares", Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen and Ian Reid. ACM Transactions on Graphics, 2020, (presented on SIGGRAPH 2020). Code
  4. "Embedding bilateral filter in least squares for efficient edge-preserving image smoothing." Wei Liu, Pingping Zhang, Xiaogang Chen, Chunhua Shen, Xiaolin Huang, Jie Yang. IEEE Transactions on Circuits and Systems for Video Technology, 2018. Code