Recaptured Image Detection Through Enhanced Residual-Based Correlation Coefficients

摘要

With the rapid development of image display technology and digital acquisition device, recapturing the copies of images from LCD screens with high quality becomes rather convenient and easy. Such recaptured images post severe security threats in image credibility and bio-authentication. In order to alleviate such security problems, in this paper, we propose a simple yet effective method to detect the images recaptured from LCD screens based on enhanced residual-based correlation coefficients. Specifically, we first extract the blocks which contain only one edge with pre-defined criteria. Then, pixel-wise sharpness is used to enhance the discriminability of the extracted single-edge blocks. Finally, pixel-wise correlation coefficients in the residual of the enhanced single-edge blocks are adopted as features. Extensive experiments on three high-resolution and high-quality recaptured image databases demonstrate the superior of our proposed method when compared with the state-of-the-art approaches.