Deblurring Method for Motion Blurred Images based on GAN
Ning Li, Songnan Chen, Mengxia Tang, Jiangming Kan · International Journal of Circuits Systems and Signal Processing · 2021
The purpose of image motion deblur is to recover the underlying clear image from the corresponding blur image. In most traditional methods, the image recovery task is formulated as a problem of blur core estimation and use a priori to calculate. In this paper we proposes a generative adversarial network(GAN) model based on the mobilenet-V3 network structure to meet the needs of motion blurred image recovery on mobile devices. Based on traditional evaluation indicators, we propose a new evaluation metric on mobile device. Extensive experiments show that our method is superior to the competing methods.