Real-time image dynamic range compensation for an optical imaging system

K. S. Sim; C. P. Tso; Y. Y. Tan; K. K. Law; A. B.J. Teoh

doi:10.1117/1.2768964

Real-time image dynamic range compensation for an optical imaging system

K. S. Sim, C. P. Tso, Y. Y. Tan, K. K. Law, A. B.J. Teoh

Department of Electrical and Electronic Engineering

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

5 Citations (Scopus)

Abstract

This paper presents the development and implementation of a real-time dynamic range compensation system for optical images. Compared with conventional automatic brightness contrast compensators that are based on the average image or pixel intensity level, the proposed system utilizes histogram-profiling techniques to continuously compensate for the dynamic range of the processed video signal. The algorithms are implemented in real time with a frame grabber card forming the front-end video capture element. The proposed technique yields better image compensation compared with conventional methods. Various methods are used in order for the analysis to be statistically valid.

Original language	English
Article number	033006
Journal	Journal of Electronic Imaging
Volume	16
Issue number	3
DOIs	https://doi.org/10.1117/1.2768964
Publication status	Published - 2007

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Computer Science Applications
Electrical and Electronic Engineering

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AU - Teoh, A. B.J.

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AB - This paper presents the development and implementation of a real-time dynamic range compensation system for optical images. Compared with conventional automatic brightness contrast compensators that are based on the average image or pixel intensity level, the proposed system utilizes histogram-profiling techniques to continuously compensate for the dynamic range of the processed video signal. The algorithms are implemented in real time with a frame grabber card forming the front-end video capture element. The proposed technique yields better image compensation compared with conventional methods. Various methods are used in order for the analysis to be statistically valid.

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Real-time image dynamic range compensation for an optical imaging system

Abstract

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