Physical High Dynamic Range Imaging with Conventional Sensors

H. Meuel, H. Ackermann, B. Rosenhahn, J. Ostermann
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Abstract

This paper aims at simplified high dynamic range (HDR) image generation with non-modified, conventional camera sensors. One typical HDR approach is exposure bracketing, e.g. with varying shutter speeds. It requires to capture the same scene multiple times at different exposure times. These pictures are then merged into a single HDR picture which typically is converted back to an 8-bit image by using tone-mapping. Existing works on HDR imaging focus on image merging and tone mapping whereas we aim at simplified image acquisition. The proposed algorithm can be used in consumer-level cameras without hardware modifications at sensor level. Based on intermediate samplings of each sensor element during the total (pre-defined) exposure time, we extrapolate the luminance of sensor elements which are saturated after the total exposure time. Compared to existing HDR approaches which typically require three different images with carefully determined exposure times, we only take one image at the longest exposure time. The shortened total time between start and end of image acquisition can reduce ghosting artifacts. The experimental evaluation demonstrates the effectiveness of the algorithm.
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物理高动态范围成像与传统传感器
本文的目的是简化高动态范围(HDR)图像生成与非修改,传统的相机传感器。一种典型的HDR方法是曝光包围,例如使用不同的快门速度。它需要在不同的曝光时间多次捕捉相同的场景。这些图片然后合并成一个单一的HDR图片,通常是转换回一个8位图像使用色调映射。现有的HDR成像工作主要集中在图像合并和色调映射,而我们的目标是简化图像获取。该算法可用于消费级相机,无需在传感器级进行硬件修改。基于每个传感器元件在总(预定)曝光时间内的中间采样,我们推断出在总曝光时间后饱和的传感器元件的亮度。现有的HDR方法通常需要三张不同的图像和仔细确定的曝光时间,相比之下,我们只需要在最长的曝光时间内拍摄一张图像。缩短图像采集开始和结束的总时间可以减少重影。实验验证了该算法的有效性。
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