Dictionary-based image reconstruction for superresolution in integrated circuit imaging

T. Berkin Cilingiroglu, Aydan Uyar, Ahmet Tuysuzoglu, W. Clem Karl, Janusz Konrad, Bennett B. Goldberg, M. Selim Ünlü

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Resolution improvement through signal processing techniques for integrated circuit imaging is becoming more crucial as the rapid decrease in integrated circuit dimensions continues. Although there is a significant effort to push the limits of optical resolution for backside fault analysis through the use of solid immersion lenses, higher order laser beams, and beam apodization, signal processing techniques are required for additional improvement. In this work, we propose a sparse image reconstruction framework which couples overcomplete dictionary-based representation with a physics-based forward model to improve resolution and localization accuracy in high numerical aperture confocal microscopy systems for backside optical integrated circuit analysis. The effectiveness of the framework is demonstrated on experimental data.

Original languageEnglish (US)
Pages (from-to)15072-15087
Number of pages16
JournalOptics Express
Issue number11
StatePublished - Jun 1 2015

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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