A method for extended depth of field imaging based on image acquisition through a thin binary phase plate followed by fast automatic computational post-processing is presented. By placing a wavelength dependent optical mask inside the pupil of a conventional camera lens, one acquires a unique response for each of the three main color channels, which adds valuable information that allows blind reconstruction of blurred images without the need of an iterative search process for estimating the blurring kernel. The presented simulation as well as capture of a real life scene show how acquiring a one-shot image focused at a single plane, enable generating a de-blurred scene over an extended range in space.
We have recently shown [Appl. Opt.51, 2739 (2012)] that performance analysis of optical imaging systems based on results obtained with classic one-dimensional (1D) resolution targets (such as the U.S. Air Force resolution target) are significantly different than those obtained with a newly proposed two-dimensional (2D) target. We hereby provide experimental evidence and show how the new 2D template can be used to correctly characterize optical imaging systems in terms of resolution and contrast. In particular, we apply the consequences of these observations to the optimal design of some 2D barcode structures.
Present determination of optical imaging systems specifications are based on performance values and modulation transfer function results carried with a 1D resolution template (such as the USAF resolution target or spoke templates). Such a template allows determining image quality, resolution limit, and contrast. Nevertheless, the conventional 1D template does not provide satisfactory results, since most optical imaging systems handle 2D objects for which imaging system response may be different by virtue of some not readily observable spatial frequencies. In this paper we derive and analyze contrast transfer function results obtained with 1D as well as 2D templates.
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