Abstract: This letter proposes a nonlinear L 1 -norm approach for joint image registration and super-resolution (SR). Image SR is the fusion of multiple ...

In [1], Farsiu et al. propose an L1-norm regularization method to reconstruct HR image while preserving the sharp edges. The method is able to suppress the.

Joint Image Registration and Super-Resolution From Low-Resolution Images With Zooming Motion · L1-norm multi-frame super-resolution from images with zooming ...

AB - This letter proposes a nonlinear L1-norm approach for joint image registration and super-resolution (SR). Image SR is the fusion of multiple low-resolution ...

This letter proposes a nonlinear L 1 -norm approach for joint image registration and super-resolution (SR). Image SR is the fusion of multiple ...

We must address the nonlinear parameter estimation problem. An iterative scheme based on regularized total least norm method is developed to estimate the ...

(preserves the L2 norm). Transforming discrete data will require interpolation. Linear, quadratic, cubic, bi-cubic, and other local interpolation schemes ...

Super-resolution (SR) is another model-based technique which relies on modeling the imaging processes and using regularization methods describing a priori ...

Omer et al. Region-based weighted-norm with adaptive regularization for resolution enhancement. Digit Signal Process. ( ...

Super-resolution combines several low resolution images having different sampling into a high resolution image. L1-norm data fit minimization has been proposed ...