An Edge-Guided Image Interpolation Method Using Taylor Series Approximation

作者：Lee Seung Jun^*; Kang Mun Cheon; Uhm Kwang Hyun; Ko Sung Jea

来源：IEEE Transactions on Consumer Electronics, 2016, 62(2): 159-165.

DOI：10.1109/tce.2016.7514715

• Image interpolation
• edge-guided interpolation
• directional derivatives
• Taylor series approximation

In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first-and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity(1).

• 出版日期2016-5