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.
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Keywords
- Graphic Processing Unit
- Point Spread Function
- Chromatic Aberration
- Blind Deconvolution
- Optical Aberration
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Schuler, C.J., Hirsch, M., Harmeling, S., Schölkopf, B. (2012). Blind Correction of Optical Aberrations. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds) Computer Vision – ECCV 2012. ECCV 2012. Lecture Notes in Computer Science, vol 7574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33712-3_14
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DOI: https://doi.org/10.1007/978-3-642-33712-3_14
Publisher Name: Springer, Berlin, Heidelberg
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