Computational correction for imaging through single Fresnel lenses

The lenses of modern single lens reflex (SLR) cameras may contain a dozen or more individual lens elements to correct aberrations. With processing power more readily available, the modern trend in computational photography is to develop techniques for simple lens aberration correction in post-processing. We propose a similar approach to remove aberrations from images captured by a single imaging Fresnel lens. The image is restored using three-stage deblurring of the base color channel, sharpening other and then applying color correction. The first two steps are based on the combination of restoration techniques used for restoring images obtained from simple refraction lenses. Color correction stage is necessary to remove strong color shift caused by chromatic aberrations of simple Fresnel lens. This technique was tested on real images captured by a simple lens, which was made as a three-step approximation of the Fresnel lens. Promising results open up new opportunities in using lightweight Fresnel lenses in miniature computer vision devices.