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
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