No-Reference
Method for Effective Bandwidth Estimation
Barak Fishbaina*,
Leonid Yaroslavskya, Ianir Idesesa, Frederique (
aDept. of Electrical Engineering
– Physical Electronics, the Iby and Aladar Fleischman Faculty of
Engineering, Tel-Aviv University, Tel Aviv 69978, Israel
bSTMicroelectronics, 12 rue
The
work done so far is described in:
§
F.
Crete, T. Dolmiere, P. Ladret and M. Nicolas, “The Blur Effect:
Perception and Estimation with a New No-Reference Perceptual Blur
Metric”, proc. of Human Vision and Electronic Imaging XII/Electronic
Imaging 2007, SPIE Vol. 6492, San-Jose, CA, 2007.
§
Barak
Fishbain, Leonid Yaroslavsky, Ianir Ideses, Frederique Roffet, “No-Reference
Method for Effective Bandwidth Estimation”, Proc. Image Quality and
System Performance V/ Electronic Imaging 2008, SPIE Vol. 6808,
The image sequences are provided for personal use and in order to facilitate basic research. We ask not to use these data in any commercial way. We appreciate an email message indicating who has copied the data and understand that the authors will be acknowledged in case results obtained with these data will be published. We explicitly object to redistribution of any versions of our image sequences in order to maintain compatibility of sources in case results obtained by different groups have to be compared. Any further distribution of these sequences will proceed under the same conditions.
IDM
= PerceptualBlurMetric (Image, FiltSize)
Image
Effective Bandwidth
EffectiveBW
= get_matching_rnd_bandwidth(IDM)
This
file needs the following MAT file Q_rnd_vec1000.mat
Test Sets
256x256
random image set with 256 different effective bandwidths.