Optical MEMS image enhancement with sparse signal representation

Tools

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, CZE, pp. 1109-1112. ISBN 9781457705397 (https://doi.org/10.1109/ICASSP.2011.5946602)

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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.

ORCID iDs

Zhang, G. C., Li, L., Stankovic, V. ORCID logoORCID: https://orcid.org/0000-0002-1075-2420, Stankovic, L. ORCID logoORCID: https://orcid.org/0000-0002-8112-1976 and Uttamchandani, D. ORCID logoORCID: https://orcid.org/0000-0002-2362-4874;
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