A multidirectional edge-directed interpolation algorithm that features a region division method is proposed. In the proposed method, an interpolation pixel is newly modeled as a weighted sum of 12 neighboring pixels representing 12 different directions. Each weight is estimated by Wiener filter theory using geometric duality. The proposed method for dividing the interpolation region reduces the heavy computational complexity of the proposed model. Analyzing edge continuities, the model divides an image into three regions, and only strong edge regions are interpolated. Simulation results show that several directional edges are restored clearly in a subjective test, with fair performance in an objective test.
Bibliographical noteFunding Information:
This work was supported by the Mid-career Researcher Program through an NRF grant funded by the MEST (2011-0027515), and partially supported by the Ministry of Knowledge Economy (MKE, Korea) and IDEC/IDEC Platform Center (IPC) at Hanyang University.
All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics