Spatial Resolution and Dynamic Range Enhancement

Super-resolution (SR) is a well-known technique to increase the quality of an image using multiple overlapping pictures of a scene. SR requires accurate registration of the images, both geometrically and photometrically. Most of the SR articles in the literature have considered geometric registration only, assuming that images are captured under the same photometric conditions. This is not necessarily true as external illumination conditions and/or camera parameters (such as exposure time, aperture size, and white balancing) may vary for different input images. Therefore, photometric modeling is a necessary task for super-resolution. In this resolution, we investigate super-resolution image reconstruction and dynamic range enhancement when there is photometric variation among input images.

Related Publications:

Superresolution under photometric diversity of images, Murat Gevrekci and Bahadir K. Gunturk, EURASIP Journal on Advances in Signal Processing, Special Issue: Super-Resolution Enhancement of Digital Video, 2007. [pdf] 

 

High-resolution image reconstruction from differently exposed images, Bahadir K. Gunturk, Murat Gevrekci, IEEE Signal Processing Letters, vol.13, no. 4, pp.197-200, April 2006. [pdf]  

Software available

Sample Results: