Very Low Resolution Face Image Super-Resolution Based on DCT

Abstract

This paper introduces the Very Low Resolution (VLR) problem in the fleld of face image super-resolution reconstruction. With the extensive application of the surveillance cameras, the very low resolution problem happens in many face recognition applications, which has brought great inconvenience to users. In order to research this problem, this paper proposes the improved DCT algorithm, and our flnal experimental results have compared with the common DCT algorithm, Cubic B-Spline interpolation algorithm and Baker et al’s method. Experimental results show that the improved DCT algorithm can get better performance in the very low resolution face image super-resolution reconstruction problem.