Optical MEMS image enhancement with sparse signal representation

G. C. Zhang; L. Li; V. Stankovic; L. Stankovic; D. Uttamchandani

doi:10.1109/ICASSP.2011.5946602

Optical MEMS image enhancement with sparse signal representation

G. C. Zhang, L. Li, V. Stankovic, L. Stankovic, D. Uttamchandani

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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.

Original language	English
Title of host publication	2011 IEEE International conference on acoustics, speech and signal processing
Place of Publication	New York
Publisher	IEEE
Pages	1109-1112
Number of pages	4
ISBN (Print)	9781457705397
DOIs	https://doi.org/10.1109/ICASSP.2011.5946602
Publication status	Published - 2011
Event	IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) - Prague, Czech Republic Duration: 22 May 2011 → 27 May 2011

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Country/Territory	Czech Republic
City	Prague
Period	22/05/11 → 27/05/11

Keywords

sparse representation
image enhancement
optical
mems image enhancement
sparse signal representation

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10.1109/ICASSP.2011.5946602

Cite this

@inproceedings{2a4adc9e47484dc8b1f00a03265de219,

title = "Optical MEMS image enhancement with sparse signal representation",

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. ",

keywords = "sparse representation, image enhancement, optical, mems image enhancement, sparse signal representation ",

author = "Zhang, {G. C.} and L. Li and V. Stankovic and L. Stankovic and D. Uttamchandani",

year = "2011",

doi = "10.1109/ICASSP.2011.5946602",

language = "English",

isbn = "9781457705397 ",

pages = "1109--1112",

booktitle = "2011 IEEE International conference on acoustics, speech and signal processing",

publisher = "IEEE",

note = "IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) ; Conference date: 22-05-2011 Through 27-05-2011",

}

Zhang, GC, Li, L, Stankovic, V , Stankovic, L & 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, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , Prague, Czech Republic, 22/05/11. https://doi.org/10.1109/ICASSP.2011.5946602

TY - GEN

T1 - Optical MEMS image enhancement with sparse signal representation

AU - Zhang, G. C.

AU - Li, L.

AU - Stankovic, V.

AU - Stankovic, L.

AU - Uttamchandani, D.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - sparse representation

KW - image enhancement

KW - optical

KW - mems image enhancement

KW - sparse signal representation

U2 - 10.1109/ICASSP.2011.5946602

DO - 10.1109/ICASSP.2011.5946602

M3 - Conference contribution book

SN - 9781457705397

SP - 1109

EP - 1112

BT - 2011 IEEE International conference on acoustics, speech and signal processing

PB - IEEE

CY - New York

T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Y2 - 22 May 2011 through 27 May 2011

ER -

Optical MEMS image enhancement with sparse signal representation

Abstract

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Keywords

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