Direct superresolution for realistic image reconstruction

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Abstract

Traditional superresolution techniques employ optimizers, priors, and regularizers to deliver stable, appealing restorations even though deviating from the real, ground-truth scene. We have developed a nonregularized superresolution algorithm that directly solves a fullycharacterized multi-shift imaging reconstruction problem to achieve realistic restorations without being penalized by improper assumptions made in the inverse problem. An adaptive frequency-based filtering scheme is introduced to upper bound the reconstruction errors while still producing more fine details as compared with previous methods when inaccurate shift estimation, noise, and blurring scenarios are considered.

Original languageEnglish (US)
Pages (from-to)26124-26138
Number of pages15
JournalOptics Express
Volume23
Issue number20
DOIs
StatePublished - Oct 5 2015

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ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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