Variable exposure time imaging for obtaining unblurred HDR images

Abstract

In this paper, we propose a new camera and a new imaging technique for obtaining unblurred high-dynamic-range (HDR) images. In this camera, we achieve pixelwise control of exposure parameters by using a liquid crystal on silicon. In particular, we can control not only the amount of exposure but also the exposure time pixel by pixel. We call the imaging as variable exposure time imaging. By using the variable exposure time imaging, we can suppress motion blur of bright regions. In addition, we propose a motion blur recovering method from variable exposure time images for obtaining more distinct images including darker regions. Experimental results show our method can take a clear HDR image even if the target object moves in HDR scene.

Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array

“…Snapshot methods are based on a snapshot HDR imaging system with spatially varying exposure levels [10,11]. Several hardware architectures or concepts have been proposed to realize a snapshot system, such as a coded exposure time [8,33,34], a coded exposure mask [35,36,37], a dual-ISO sensor [9,38,39,40], and what we call an ME-CFA, which consists of the mosaic of RGB filters combined with neutral density filters with different attenuation levels [10,11,41,42,43,44,45].…”

Model for High Dynamic Range Imaging System Using Hybrid Feature Based Exposure Fusion

“…The multiple image of the same scenario with the different exposure can provide the needed information about the image, because different exposure of the image gives the different data [3]. The advancement in the image acquisition technique helps to overcome the issues present in the current imaging system and capture the scene with the higher value of dynamic range in the image from the exposure between the bright and dark places [4,5]. The photometric and colorimetric information calculated from captured images has been highly used in scientific and engineering applications like an environment evaluation, for example, Unified Glare Rating (UGR) measurement for office or road monitor, medical imaging and graphics rendering consists of image-based lighting.…”