FLT Database 2017, version 1.0

FLT Database is intended for evaluation of full-reference image 
visual quality assessment metrics for image denoising. FLT allows 
to estimate how a given metric corresponds to mean human 
perception. For example, in accordance with FLT Database, Spearman 
correlation between the metric PSNR (Peak Signal to Noise Ratio) 
and mean human perception (MOS, Mean Opinion Scores) is 0.05.

Permission to use, copy, or modify this database and its documentation
for educational and research purposes only and without fee is hereby
granted, provided that this copyright notice and the original authors'
names appear on all copies and supporting documentation. This database
shall not be modified without first obtaining permission of the authors. 
The authors make no representations about the suitability of this 
database for any purpose. It is provided "as is" without express
or implied warranty.

In case of publishing results obtained by means of FLT Database please refer 
to the following paper:

K. Egiazarian, M. Ponomarenko, V. Lukin, O. Ieremeiev, 
Statistical evaluation of visual quality metrics for image denoising,
Submitted to ICASSP 2018.
  
The FLT Database contains 75 reference images and 300 distorted images 
(25 reference images x 4 levels of image denoising). 
All images are saved in database in Bitmap format without any compression. 
File names are organized in such a manner that they indicate a number of 
the reference image XX and denoising level Y: "imaXX_Y.bmp". 

The file "mos.txt" contains the Mean Opinion Scores for each distorted image.
Higer value of MOS (0 - minimal, 4 - maximal) corresponds to higer visual 
quality of the image.