Picture of wind turbine against blue sky

Open Access research with a real impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

The Energy Systems Research Unit (ESRU) within Strathclyde's Department of Mechanical and Aerospace Engineering is producing Open Access research that can help society deploy and optimise renewable energy systems, such as wind turbine technology.

Explore wind turbine research in Strathprints

Explore all of Strathclyde's Open Access research content

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

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.