Low-Light Image Deblurring Based On Simple Lens System
PubDate: May 2019
Teams: National University of Defense Technology
Writers: Dazhi Zhan; Xiangrong Zeng; Weili Li; Yu Liu; Zhihui Xiong
A method for image quality enhancement of simple lens image under low-illumination condition is presented in this paper. We first introduce an accurate camera-scene alignment framework that generates exactly matched and tone-consistent image pairs to estimate blur kernel. We then use the cross-channel matrix obtained in the tone curve calibration to restore the details of the blurred image. Finally, the clear image is restored by non-blind deconvolution and compared with other methods to prove the advantages of our method.