Paper Info
Title
Blind correction of optical aberrations
Abstract
Camera lenses are a critical component of optical imaging systems, and lens imperfections compromise image quality. While traditionally, sophisticated lens design and quality control aim at limiting optical aberrations, recent works [1,2,3] promote the correction of optical flaws by computational means. These approaches rely on elaborate measurement procedures to characterize an optical system, and perform image correction by non-blind deconvolution. In this paper, we present a method that utilizes physically plausible assumptions to estimate non-stationary lens aberrations blindly, and thus can correct images without knowledge of specifics of camera and lens. The blur estimation features a novel preconditioning step that enables fast deconvolution. We obtain results that are competitive with state-of-the-art non-blind approaches.
Year
DOI
Venue
2012
10.1007/978-3-642-33712-3_14
ECCV (3)
Keywords
Field
DocType
sophisticated lens design,non-blind deconvolution,non-stationary lens,blind correction,lens imperfections compromise image,camera lens,optical aberration,image correction,optical system,optical imaging system,optical flaw
Optical aberration,Computer vision,Blind deconvolution,Computer science,Chromatic aberration,Deconvolution,Image quality,Lens (optics),Artificial intelligence,Point spread function,Limiting
Conference
Volume
ISSN
Citations 
7574
0302-9743
11
PageRank 
References 
Authors
0.63
11
4
Name
Order
Citations
PageRank
Christian J. Schuler125510.16
Michael Hirsch22119.59
Stefan Harmeling3190888.60
Bernhard Schölkopf4231203091.82