Super-resolution methods comparison
Four different algorithms are compared:
A summary table of algorithms characteristics:
ISO 12233 test chart
Test chart with crop areas marked
The test suite and ISO 12233 test pattern are from LCAV - Audiovisual communications labaratory.
Closeup of test chart cropped areas processed with different superresolution algorithms:
Real scene (street)
Closeup of street scene cropped areas processed with different superresolution algorithms:
Iterated back-projection. M. Irani and S. Peleg, Improving resolution by image registration, Graphical Models and Image Processing, 53:231-239, 1991.
Robust super-resolution. A. Zomet, A. Rav-Acha, and S. Peleg, Robust Super-Resolution, Proceedings international conference on computer vision and pattern recognition (CVPR), 2001.
Normalized convolution. Tuan Q. Pham, Lucas J. van Vliet and Klamer Schutte, Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized Convolution, EURASIP Journal on Applied Signal Processing, Vol. 2006, Article ID 83268, 12 pages, 2006.