Abstract
Modern imaging optics are highly complex systems consisting of up to two dozen individual optical elements. This complexity is required in order to compensate for the geometric and chromatic aberrations of a single lens, including geometric distortion, field curvature, wavelength-dependent blur, and color fringing. In this paper, we propose a set of computational photography techniques that remove these artifacts, and thus allow for post-capture correction of images captured through uncompensated, simple optics which are lighter and significantly less expensive. Specifically, we estimate per-channel, spatially-varying point spread functions, and perform non-blind deconvolution with a novel cross-channel term that eliminates color fringing.

 
Notes
This webpage provides only a basic interface for viewing our result images. To zoom in various regions and compare those regions we propose to use image viewers with such functionality such as Gwenview (Linux) or IrfanView (Windows).

 
 
  Results and comparisons
The following links take you to our results and comparisons to other methods. The images for each page are prefetched, which may take some time depending on the browser.
 
Single lens results

Standard camera lens and multispectral camera results

Comparisons