Semi-Global Weighted Least Squares in Image Filtering

This is the released code for the following paper:

"Semi-global weighted least squares in image filtering.", Wei Liu, Xiaogang Chen, Chuanhua Shen, Zhi Liu, and Jie Yang. In ICCV 2017.

Update comments:

The function mexSG_WLS_opt is the code-level optimized counterpart of the function mexSG_WLS_naive, it can produce the same results, but runs faster.

Related Work:

1. "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 (presented on SIGGRAPH 2020). Code
2. "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
3. "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 Transactions on Pattern Analysis and Machine Intelligence (2021). Code