A Nonlinear L-1-Norm Approach for Joint Image Registration and Super-Resolution

作者：Yap Kim Hui; He Yu; Tian Yushuang; Chau Lap Pui

来源：IEEE Signal Processing Letters, 2009, 16(11): 981-984.

DOI：10.1109/LSP.2009.2028106

• Image registration
• image super-resolution
• L-1-norm
• nonlinear algorithm

This letter proposes a nonlinear L-1-norm approach for joint image registration and super-resolution (SR). Image SR is the fusion of multiple low-resolution (LR) images to produce a high-resolution (HR) image. Conventional SR algorithms are sensitive to the initial registration error and outliers in the LR images. In view of this, we present a new SR method to address these problems using L-1-norm optimization in joint image registration and HR image reconstruction. Experimental results show that the proposed method is effective in handling these issues in the HR image reconstruction.

• 出版日期2009-11