Update README.md

README.md

@@ -35,7 +35,7 @@ Run shell scripts to deblur:
 python selfdeblur_levin.py # The training has been improved, and usually can achieve better retults than those repoted in the paper. 
 python selfdeblur_lai.py # Run SelfDeblur on Lai dataset, where blurry images are firstly converted to their Y channel. 
 python selfdeblur_nonblind.py # Only update Gx, while fixing Gk. Several images in Lai datast may converge to "black" image, but the blur kernels are good. I will check why this may happen. In these cases, you need to run selfdeblur_nonblind.py to generate good deblurring results.
-python selfdeblur_ycbcr.py # Handle color images in YCbCr space. 
+python selfdeblur_ycbcr.py # Handle color images in YCbCr space. 2500 iterations are adopted. If you need better texture details, more iterations will help. 
 ```
 All the deblurring results and deep models are also available. Please read [results/levin/readme.docx](/results/levin/readme.docx) and [results/lai/readme.docx](results/lai/readme.docx) for the details. 
 You can place the downloaded results into `./results/`, and directly compute all the [evaluation metrics](statistic/) in this paper.