loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Computer Graphics International 2003 (CGI'03)
Image Restoration using Multiresolution Texture Synthesis and Image Inpainting
Tokyo, Japan
July 09-July 11
ISBN: 0-7695-1946-6
Hitoshi Yamauchi, Max-Planck-Institut f?r Informatik, Saarbr?cken, Germany
J? Haber, Max-Planck-Institut f?r Informatik, Saarbr?cken, Germany
Hans-Peter Seidel, Max-Planck-Institut f?r Informatik, Saarbr?cken, Germany
We present a new method for the restoration of digitized photographs. Restoration in this context refers to removal of image defects such as scratches and blotches as well as to removal of disturbing objects as, for instance, subtitles, logos, wires, and microphones.
Our method combines techniques from texture synthesis and image inpainting, bridging the gap between these two approaches that have recently attracted strong research interest. Combining image inpainting and texture synthesis in a multiresolution approach gives us the best of both worlds and enables us to overcome the limitations of each of those individual approaches.
The restored images obtained with our method look plausible in general and surprisingly good in some cases. This is demonstrated for a variety of input images that exhibit different kinds of defects.
Index Terms:
multiresolution texture synthesis, image in-painting, image restoration, frequency decomposition
Citation:
Hitoshi Yamauchi, J? Haber, Hans-Peter Seidel, "Image Restoration using Multiresolution Texture Synthesis and Image Inpainting," cgi, pp.120, Computer Graphics International 2003 (CGI'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.