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23-29 October 2017 is International Open Access Week. The Strathprints institutional repository is a digital archive of Open Access research outputs, all produced by University of Strathclyde researchers.

Explore recent world leading Open Access research content this Open Access Week from across Strathclyde's many research active faculties: Engineering, Science, Humanities, Arts & Social Sciences and Strathclyde Business School.

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Optical MEMS image enhancement with sparse signal representation

Zhang, G. C. and Li, L. and Stankovic, V. and Stankovic, L. and Uttamchandani, D. (2011) Optical MEMS image enhancement with sparse signal representation. In: 2011 IEEE International conference on acoustics, speech and signal processing. IEEE, New York, pp. 1109-1112. ISBN 9781457705397

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Abstract

This paper describes a complete low-complexity imaging system based on a single MEMS scanning mirror and a single photodetector, together with customized image enhancement algorithms based on sparse signal representation. Due to very low complexity of our developped optical set-up for image acquisition, resulting images suffer visible artifacts. We propose an iterative denoising-deblurring algorithm for image enhancement, which offers significant improvement over wavelet denoising with soft-thresholding. Several image enhancement algorithms are compared using the blind image quality indices (BIQI) as well as visual experience.