Super-resolution reconstruction is the process of reconstructing a high-resolution image from multiple low-resolution images. Most super-resolution reconstruction methods neglect camera response function, exposure time, white balancing, and external illumination changes. In this paper, we show how to extend traditional super-resolution reconstruction methods to handle these factors. We provide formulations for several different super-resolution reconstruction approaches. Experimental results are also included.
Image acquisition modeling for super-resolution reconstruction
IEEE International Conference on Image Processing 2005 ; 2 ; II-1058
2005-01-01
561189 byte
Conference paper
Electronic Resource
English
Image Acquisition Modeling for Super-Resolution Reconstruction
British Library Conference Proceedings | 2005
|Fast MAP-based multiframe super-resolution image reconstruction
British Library Online Contents | 2005
|A MCMC Approach for Bayesian Super-Resolution Image Reconstruction
British Library Conference Proceedings | 2005
|