TY - GEN
T1 - Iterative image interpolation for irregularly sampled image
AU - Lee, Jonghwa
AU - Lee, Chulhee
PY - 2012
Y1 - 2012
N2 - For irregularly sampled color images, an iterative interpolation algorithm utilizing a wavelet shrinkage denoising technique is proposed. Exploiting the non-local information from neighboring blocks, the reconstruction performance converges as the iteration of the proposed algorithm is repeated. Experimental results show that the proposed algorithm outperforms the conventional algorithms in terms of subjective quality and objective measures. The proposed algorithm correctly reconstructs the edge and provides perceptually good performance with randomly chosen 25% pixels.
AB - For irregularly sampled color images, an iterative interpolation algorithm utilizing a wavelet shrinkage denoising technique is proposed. Exploiting the non-local information from neighboring blocks, the reconstruction performance converges as the iteration of the proposed algorithm is repeated. Experimental results show that the proposed algorithm outperforms the conventional algorithms in terms of subjective quality and objective measures. The proposed algorithm correctly reconstructs the edge and provides perceptually good performance with randomly chosen 25% pixels.
UR - http://www.scopus.com/inward/record.url?scp=84862148075&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862148075&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84862148075
SN - 9789898565037
T3 - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
SP - 176
EP - 181
BT - VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications
T2 - International Conference on Computer Vision Theory and Applications, VISAPP 2012
Y2 - 24 February 2012 through 26 February 2012
ER -