Authors:
Artem Nikonorov
1
;
Sergey Bibikov
1
;
Maksim Petrov
2
;
Yuriy Yuzifovich
2
and
Vladimir Fursov
1
Affiliations:
1
Samara State Aerospace University and Image Processing Systems Institute of RAS, Russian Federation
;
2
Samara State Aerospace University, Russian Federation
Keyword(s):
Fresnel Lens Imaging, Chromatic Aberration, Deconvolution, Deblur, Sharping, Color Correction, Total Variance Deblur.
Related
Ontology
Subjects/Areas/Topics:
Design and Implementation of Signal Processing Systems
;
Image and Video Processing, Compression and Segmentation
;
Multimedia
;
Multimedia Signal Processing
;
Multimedia Systems and Applications
;
Sensors and Multimedia
;
Telecommunications
Abstract:
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 light
weight Fresnel lenses in miniature computer vision devices.
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