TY - GEN
T1 - Image recovery from broken image streams
AU - Zhao, Xiaoyu
AU - Xu, Chi
AU - Chi, Zheru
AU - Yan, Hong
AU - Feng, David Dagan
AU - Chen, Gang
PY - 2006
Y1 - 2006
N2 - This paper presents an approach for image recovery from, broken image streams based on an image continuity model. The information to be recovered includes the header of an image (width, height, color space etc.) and the data stream which might have been partially damaged. We begin our discussion on common image formats and necessary information for the image recovery. We then define several measures on image contents to facilitate the image recovery. Using these measures, an effective recovery algorithm is proposed. Experimental results show that the algorithm can successfully recover images of different formats, even multiframe images from broken image streams in most cases. © 2007 IEEE.
AB - This paper presents an approach for image recovery from, broken image streams based on an image continuity model. The information to be recovered includes the header of an image (width, height, color space etc.) and the data stream which might have been partially damaged. We begin our discussion on common image formats and necessary information for the image recovery. We then define several measures on image contents to facilitate the image recovery. Using these measures, an effective recovery algorithm is proposed. Experimental results show that the algorithm can successfully recover images of different formats, even multiframe images from broken image streams in most cases. © 2007 IEEE.
KW - Broken image streams
KW - Image continuity model
KW - Image formats
KW - Image recovery
UR - http://www.scopus.com/inward/record.url?scp=48149101142&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-48149101142&origin=recordpage
U2 - 10.1109/ICIP.2007.4379364
DO - 10.1109/ICIP.2007.4379364
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 1424414377
SN - 9781424414376
VL - 3
SP - III533-III536
BT - Proceedings - International Conference on Image Processing, ICIP
T2 - 14th IEEE International Conference on Image Processing (ICIP 2007)
Y2 - 16 September 2007 through 19 September 2007
ER -