High dynamic range image acquisition using multiple images with different apertures

2012 ◽  
Vol 51 (12) ◽  
pp. 127002 ◽  
Author(s):  
Tae Jang Park ◽  
In Kyu Park
Keyword(s):  
Dynamic Range ◽  
Image Acquisition ◽  
High Dynamic Range ◽  
Range Image ◽  
High Dynamic Range Image ◽  
Multiple Images ◽  
High Dynamic

scholarly journals High-speed global shutter CMOS machine vision sensor with high dynamic range image acquisition and embedded intelligence

2012 ◽  
Author(s):  
Francisco Jiménez-Garrido ◽  
José Fernández-Pérez ◽  
Cayetana Utrera ◽  
José Ma. Muñoz ◽  
Ma. Dolores Pardo ◽  
...  
Keyword(s):  
Machine Vision ◽  
High Speed ◽  
Dynamic Range ◽  
Image Acquisition ◽  
High Dynamic Range ◽  
Range Image ◽  
Vision Sensor ◽  
High Dynamic Range Image ◽  
High Dynamic ◽  
Embedded Intelligence

Generation of High Dynamic Range Image Based on Tone Composition of Multiple Images for Identical Scene

2010 ◽  
Vol 174 ◽  
pp. 132-135
Author(s):  
Lei Zhang ◽  
Yang Jin ◽  
Zhen Liu
Keyword(s):  
Distribution Curve ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Processing Method ◽  
Range Image ◽  
High Dynamic Range Image ◽  
Target Image ◽  
Composite Image ◽  
Multiple Images ◽  
High Dynamic

A High Dynamic Range Image (HDRI) processing method is described, which multiple images of identical scene but with different exposure amount can be processed. The processing method is: A composite distribution, which is as target distribution of HDRI, is derived by pixel counts accumulation of the multiple original images. The accumulated distribution curve of target HDRI is then computed. To generate a composite image as original, a weighting method is used and the gray levels of pixels are calculated based on pixels in the multiple images. The tone distribution and the accumulative distribution curve are also obtained. Finally, using the accumulative distribution curve of the target image and of the composite image, a tone-converting curve is derived to transform the composite image to HDRI. The result shows that this method can make better use of gradation information of the original images. The tone range and the contrast of target image are extended.

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