DocumentCode :
1684064
Title :
Image restoration using multiresolution texture synthesis and image inpainting
Author :
Yamauchi, Hitoshi ; Haber, Jörg ; Seidel, Hans-Peter
Author_Institution :
Max-Planck-Inst. fur Inf., Saarbrucken, Germany
fYear :
2003
Firstpage :
120
Lastpage :
125
Abstract :
We present a new method for the restoration of digitized photographs. Restoration 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.
Keywords :
discrete cosine transforms; image resolution; image restoration; image segmentation; image texture; digitized photographs; frequency decomposition; image defects elimination; image inpainting; image restoration; microphones; multiresolution texture synthesis; Consumer electronics; Digital cameras; Frequency synthesizers; Image resolution; Image restoration; Image sequences; Marketing and sales; Microphones; Object detection; Wires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics International, 2003. Proceedings
ISSN :
1530-1052
Print_ISBN :
0-7695-1946-6
Type :
conf
DOI :
10.1109/CGI.2003.1214456
Filename :
1214456
Link To Document :
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