A new automatic exposure system for digital still cameras

Kuno, Takahito; Sugiura, Hiroaki; Matoba, Narihiro

doi:10.1109/30.663747

Cited by 70 publications

(29 citation statements)

References 2 publications

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“…We compared three methods: (i) a fixed exposure time, (ii) our AE algorithm proposed in Sect. 3, and (iii) the mean-based AE algorithm [1] expressed in Eq. (4).…”

Section: Methodsmentioning

confidence: 99%

“…According to [1], the brightness level of the captured image, I, can be expressed using the luminance of the scene, L, and the exposure time, τ, as…”

Section: Implemented Ae Algorithmmentioning

confidence: 99%

“…It can utilize the full dynamic range of an image sensor by automatically adjusting its exposure time to capture high-quality images with the maximum amount of detail for the user's satisfaction or for post image processing. Many AE algorithms that can maintain the mean brightness value of an image at a certain brightness value have been developed to control exposure under high-contrast lighting conditions [1], [2]. Such approaches have been extended using weighted mean-based AE algorithms for controlling the brightness around the main object in an image that the user wishes to inspect [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

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A High-Frame-Rate Vision System with Automatic Exposure Control

Noman

Aoyama

et al. 2014

IEICE Trans. Inf. & Syst.

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Qingyi GU†a) , Abdullah AL NOMAN †b) , Tadayoshi AOYAMA †c) , Takeshi TAKAKI †d) , Nonmembers, and Idaku ISHII †e) , Member SUMMARYIn this paper, we present a high frame rate (HFR) vision system that can automatically control its exposure time by executing brightness histogram-based image processing in real time at a high frame rate. Our aim is to obtain high-quality HFR images for robust image processing of high-speed phenomena even under dynamically changing illumination, such as lamps flickering at 100 Hz, corresponding to an AC power supply at 50 / 60 Hz. Our vision system can simultaneously calculate a 256-bin brightness histogram for an 8-bit gray image of 512×512 pixels at 2000 fps by implementing a brightness histogram calculation circuit module as parallel hardware logic on an FPGA-based high-speed vision platform. Based on the HFR brightness histogram calculation, our method realizes automatic exposure (AE) control of 512×512 images at 2000 fps using our proposed AE algorithm. The proposed AE algorithm can maximize the number of pixels in the effective range of the brightness histogram, thus excluding much darker and brighter pixels, to improve the dynamic range of the captured image without over-and under-exposure. The effectiveness of our HFR system with AE control is evaluated according to experimental results for several scenes with illumination flickering at 100 Hz, which is too fast for the human eye to see. key words: automatic exposure control, high-frame-rate vision system, hardware implementation

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“…We compared three methods: (i) a fixed exposure time, (ii) our AE algorithm proposed in Sect. 3, and (iii) the mean-based AE algorithm [1] expressed in Eq. (4).…”

Section: Methodsmentioning

confidence: 99%

“…According to [1], the brightness level of the captured image, I, can be expressed using the luminance of the scene, L, and the exposure time, τ, as…”

Section: Implemented Ae Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A High-Frame-Rate Vision System with Automatic Exposure Control

Noman

Aoyama

et al. 2014

IEICE Trans. Inf. & Syst.

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show abstract

“…According to Tetsuya Kuno and Narihiro Matoba [4] for a scene a sampling area has taken and given as input to the camera processor, which calculates an integrated value for the imaging signal. This integrated value is divided by the ISO and shutter speed to obtain the brightness of the scene.…”

Section: Related Workmentioning

confidence: 99%

False Position based Auto Exposure Algorithm for Properly Exposing the Leather Samples in the Leather Industries

RaviKiran¹,

Krishna²,

Basha³

et al. 2013

IJCA

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“…According to (Liang et al, 2007) and (Kuno et al, 1998), the relationship between the luminance value and the exposure factors can be expressed as:…”

Section: Auto Exposurementioning

confidence: 99%