Image acquisition modeling for super-resolution reconstruction

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.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Murat Gevrekci, Bahadir K. Gunturk
• Keywords: ICIP 2005, Image Acquisition Modeling, Image Processing