CVMar 21, 2014
Continuous Optimization for Fields of Experts Denoising Works
arXiv:1403.5590v1
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for image processing researchers, offering a better optimization approach for a specific denoising benchmark.
The paper tackled image denoising using a Fields of Experts prior and found that a non-linear least squares solver significantly outperforms all known discrete optimization methods.
Several recent papers use image denoising with a Fields of Experts prior to benchmark discrete optimization methods. We show that a non-linear least squares solver significantly outperforms all known discrete methods on this problem.