Optical MEMS image enhancement with sparse signal representation

Research output: Chapter in Book/Report/Conference proceedingConference contribution book


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.
Original languageEnglish
Title of host publication2011 IEEE International conference on acoustics, speech and signal processing
Place of PublicationNew York
Number of pages4
ISBN (Print)9781457705397
Publication statusPublished - 2011
EventIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) - Prague, Czech Republic
Duration: 22 May 201127 May 2011


ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
CountryCzech Republic


  • sparse representation
  • image enhancement
  • optical
  • mems image enhancement
  • sparse signal representation

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