Abstract:This paper introduces the Very Low Resolution (VLR) problem in the
field 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 final 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.
Xiaoyu Wang;Yazhou Zhang;Xiaozhong Guo. Very Low Resolution Face Image Super-Resolution Based on DCT[J]. , 2014, 11(11): 3807-3813.
Xiaoyu Wang;Yazhou Zhang;Xiaozhong Guo. Very Low Resolution Face Image Super-Resolution Based on DCT. , 2014, 11(11): 3807-3813.