Noise insensitive focus value operator for digital imaging systems

Jongseong Choi; Hee Kang; Chang Min Lee; Moon Gi Kang

doi:10.1109/TCE.2010.5505933

Noise insensitive focus value operator for digital imaging systems

Jongseong Choi, Hee Kang, Chang Min Lee, Moon Gi Kang

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Most auto-focusing algorhythms based on focus values which are calculated with high frequency image components are very sensitive to noise factor. The noise under low illumaination conditions generally degrades the auto-focusing performance. In this paper, we propose an operator to determine the noise insensitive focus value for digital imaging systems. The proposed algorhithm uses spatially adapted weights based on the local statistics of the image and the noise factors. Experiments conducted with and without noise factors demonstrate the high performance of the proposed method.

Original language	English
Article number	5505933
Pages (from-to)	312-316
Number of pages	5
Journal	IEEE Transactions on Consumer Electronics
Volume	56
Issue number	2
DOIs	https://doi.org/10.1109/TCE.2010.5505933
Publication status	Published - 2010 May

Bibliographical note

Funding Information:
1This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2009-0079024) and supported in part by Samsung Techwin Center for the Next Generation Digital Imaging Research.

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

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10.1109/TCE.2010.5505933

Cite this

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title = "Noise insensitive focus value operator for digital imaging systems",

abstract = "Most auto-focusing algorhythms based on focus values which are calculated with high frequency image components are very sensitive to noise factor. The noise under low illumaination conditions generally degrades the auto-focusing performance. In this paper, we propose an operator to determine the noise insensitive focus value for digital imaging systems. The proposed algorhithm uses spatially adapted weights based on the local statistics of the image and the noise factors. Experiments conducted with and without noise factors demonstrate the high performance of the proposed method.",

author = "Jongseong Choi and Hee Kang and Lee, {Chang Min} and Kang, {Moon Gi}",

note = "Funding Information: 1This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2009-0079024) and supported in part by Samsung Techwin Center for the Next Generation Digital Imaging Research.",

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AU - Lee, Chang Min

AU - Kang, Moon Gi

N1 - Funding Information: 1This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2009-0079024) and supported in part by Samsung Techwin Center for the Next Generation Digital Imaging Research.

PY - 2010/5

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N2 - Most auto-focusing algorhythms based on focus values which are calculated with high frequency image components are very sensitive to noise factor. The noise under low illumaination conditions generally degrades the auto-focusing performance. In this paper, we propose an operator to determine the noise insensitive focus value for digital imaging systems. The proposed algorhithm uses spatially adapted weights based on the local statistics of the image and the noise factors. Experiments conducted with and without noise factors demonstrate the high performance of the proposed method.

AB - Most auto-focusing algorhythms based on focus values which are calculated with high frequency image components are very sensitive to noise factor. The noise under low illumaination conditions generally degrades the auto-focusing performance. In this paper, we propose an operator to determine the noise insensitive focus value for digital imaging systems. The proposed algorhithm uses spatially adapted weights based on the local statistics of the image and the noise factors. Experiments conducted with and without noise factors demonstrate the high performance of the proposed method.

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Noise insensitive focus value operator for digital imaging systems

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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