Optimum auto exposure based on high-dynamic-range histogram

Authors:
Simon Schulz;Marcus Grimm;Rolf-Rainer Grigat
Affiliations:
Hamburg University of Technology, Vision Systems, Hamburg, Germany;Hamburg University of Technology, Vision Systems, Hamburg, Germany;Hamburg University of Technology, Vision Systems, Hamburg, Germany
Venue:
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2007

Citing 2
Cited 1

A new automatic exposure system for digital still cameras

IEEE Transactions on Consumer Electronics
An advanced video camera system with robust AF, AE, and AWB control

IEEE Transactions on Consumer Electronics

One-shot optimal exposure control

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper introduces a new approach for optimum auto exposure (AE) based on the high-dynamic-range histogram (HDH) of a scene. The exposure control is optimal in terms of recorded information of the scene. The advantages over AE based on mean values of images will be shown as well as a proof of concept implementation and results. Futher more possible extensions to this approach are discussed. The consideration of the HDH for auto exposure enables new possibilities for auto exposure control for mutliple-slope cameras. An AE method for multiple-slope cameras is proposed which controls exposure as well as the transition curve parameters in order to record a maximum of information from the scene. It considers controllable dynamic range as well as corse quantization in bright image regions.