Edge aware grey image enlargement

Interpolation-based approaches for image enlargement generally suffer from the problem of blurry and jagged edge. To deal with the problem, this paper presents an edge aware grey image enlargement approach (EAGIE) which is based on one-dimensional grey polynomial interpolation (1-D GPI). The proposed EAGIE consists of four stages: (i) Canny edge detection, (ii) edge pixel interpolation, (iii) edge adjacent pixel interpolation, and (iv) non-edge pixel interpolation. In the EAGIE, the three groups of pixels are used to find interpolated pixels with the 1-D GPI. The proposed EAGIE is verified and compared with popular 2-D interpolation approaches. Simulation results indicate that the proposed EAGIE has better edge performance than the compared approaches. This suggests the EAGIE is able to relieve the problem of blurry and jagged edge in interpolation-based approaches for image enlargement.