Review On: Rgb-Nir Imaging with Exposure Bracketing For Joint Denoising and Deblurring of Low-Light Color Images

Abstract

Color images taken in low light scenes are affected with noise and motion blur. This simultaneous reduction of noise and motion blur from the low-light color images is difficult due to the imposed noise hinders accurate motion blur kernel estimation. To overcome this problem, make a novel imaging system using a single sensor. It captures red, green, blue (RGB) and near-infrared (NIR) images. This system captures low-light scenes with exposure bracketing, which is a technique to acquire multiple images with different exposure times. It allows us to obtain the short- and long-exposure in RGB/NIR images. Both the short- and long exposure NIR images taken using an NIR flash unit can be captured with less noise; thus they enable estimation of motion blur kernel accurately. Based on this fact, perform joint denoising and deblurring of the low-light color image with the estimated motion blur kernel. Experiments using real raw data captured by our imaging system demonstrate the effectiveness of our method.

Keywords: Low-light image restoration, RGB/NIR single sensor, exposure bracketing, denoising, deblurring