A novel post-processing method to improve the ability of reconstruction for video leaking signal

Abstract

The confidential information can be reconstructed by received weak electromagnetic signal from a radiation object, such as a computer display. Usually, the radiation signal is submerged in strong noise and faded in channel, so it is not an easy task to understand the information existed in the signal. In this paper, we propose a new post-processing system to improve the visual quality of reconstruction image in sparse domain. Different from filter and enhancement technologies in image filed, our system focuses on data shrink and repair using the methods in machine learning. It can not only remove the noise interference, but also complement the lost high-frequency and compensate the distortion. Experimental section displays complete procedures and better performance, and it also proves the effectiveness of the novel framework.