TY - GEN
T1 - Numerical error analysis for super-resolution reconstruction
AU - Wang, Ci
AU - Peng, Tan Yap
AU - Luk, Chan Kap
PY - 2008
Y1 - 2008
N2 - Superresolution reconstruction (SR) is a technique for reconstructing a high resolution image from several low resolution ones. Recently, some researchers study the relationship of SR error and magnification factor, and give out the efficient and forbidden magnification range in their published literature. Based on their work, we describe SR error bound in more explicit way and reveal the essential factor affecting SR performance, if infinite low resolution (LR) observations are given. For SR implementation, smooth regularization serves as an efficient tool for producing stable SR solution, but this operator degrades SR performance and produces overly smooth SR image at certain magnifications. To show its mechanism, we augment SR model by integrating regularization operator into it, and then present the curve of SR error bound vs magnification factors. It is proven that the forbidden magnification range no longer exists when the regularization is involved.
AB - Superresolution reconstruction (SR) is a technique for reconstructing a high resolution image from several low resolution ones. Recently, some researchers study the relationship of SR error and magnification factor, and give out the efficient and forbidden magnification range in their published literature. Based on their work, we describe SR error bound in more explicit way and reveal the essential factor affecting SR performance, if infinite low resolution (LR) observations are given. For SR implementation, smooth regularization serves as an efficient tool for producing stable SR solution, but this operator degrades SR performance and produces overly smooth SR image at certain magnifications. To show its mechanism, we augment SR model by integrating regularization operator into it, and then present the curve of SR error bound vs magnification factors. It is proven that the forbidden magnification range no longer exists when the regularization is involved.
UR - https://www.scopus.com/pages/publications/51749105198
U2 - 10.1109/ISCAS.2008.4542207
DO - 10.1109/ISCAS.2008.4542207
M3 - 会议稿件
AN - SCOPUS:51749105198
SN - 9781424416844
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 3474
EP - 3477
BT - 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
T2 - 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Y2 - 18 May 2008 through 21 May 2008
ER -