TY - GEN
T1 - Sparse representation based iterative incremental image deblurring
AU - Zhang, Haichao
AU - Zhang, Yanning
PY - 2009
Y1 - 2009
N2 - Inspired by the observation that in image restoration, parametric models are extremely specific while pixel-level models are too loose, tending to under or over fit the underlying image respectively, in this paper, we proposed an 'intermediate-language' based method for image deblurring. The solution space is represented at a level higher than the pixel-grid level, while retain an enough degree of freedom (DOF), thus avoids the common local under or over fitting problem. Considering the sparseness property of images, a sparse representation based incremental iterative method is established for blurry image restoration. Comprehensive experiments demonstrate that the framework integrating the sparseness property of images significantly improves the deblurring performance.
AB - Inspired by the observation that in image restoration, parametric models are extremely specific while pixel-level models are too loose, tending to under or over fit the underlying image respectively, in this paper, we proposed an 'intermediate-language' based method for image deblurring. The solution space is represented at a level higher than the pixel-grid level, while retain an enough degree of freedom (DOF), thus avoids the common local under or over fitting problem. Considering the sparseness property of images, a sparse representation based incremental iterative method is established for blurry image restoration. Comprehensive experiments demonstrate that the framework integrating the sparseness property of images significantly improves the deblurring performance.
KW - Image deblurring
KW - Image restoration
KW - Sparse representation
UR - http://www.scopus.com/inward/record.url?scp=77951966910&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2009.5413591
DO - 10.1109/ICIP.2009.5413591
M3 - 会议稿件
AN - SCOPUS:77951966910
SN - 9781424456543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1293
EP - 1296
BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PB - IEEE Computer Society
T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009
Y2 - 7 November 2009 through 10 November 2009
ER -