Image enlargement based on grey interpolation model
Cheng‐Hsiung Hsieh, Kuan‐Chieh Hsiung, Ren-Hsien Huang, Fang-Jung Chang · 2009
This paper proposes a one-dimensional grey interpolation scheme for image enlargement. This scheme is based on the grey interpolation (GI) model. The GI model is derived through the GM(1,1) model, the implicit GM(1,1) model and the grey data fitting model. In the GI model, a developing coefficient is estimated from available data and applied to find the interpolated value. Several examples are given to justify the proposed scheme. The results indicate that the proposed scheme for image enlargement has similar visual quality to those from popular two-dimensional interpolation schemes, the bilinear interpolation, the bicubic interpolation and the cubic spline interpolation.