Title :
Super-resolution mosaicing from MPEG compressed video
Author :
Krämer, P. ; Hadar, O. ; Benois-Pineau, J. ; Domenger, J.P.
Author_Institution :
Bordeaux Univ., Talence, France
Abstract :
In this paper, we describe a method for the construction of super-resolution (SR) mosaics. The low-resolution (LR) input sequence of the SR algorithm consists of DC images of I-frames (DCI-frames) extracted from MPEG compressed streams. For the registration of the LR sequence, the motion information from P-frames is used. The novelty of this approach is the determination of the optical transfer function (OTF) of the blur for the image restoration in the SR algorithm. First results are promising.
Keywords :
data compression; image resolution; image restoration; image segmentation; optical transfer function; video coding; video streaming; MPEG compressed video; image restoration; optical transfer function; super-resolution mosaicing; Data mining; Degradation; Image coding; Image resolution; Image restoration; Motion estimation; Streaming media; Strontium; Transform coding; Video compression;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1529895
