A Fast Noise-Robust Interpolation Method Based on Second-Order Directional-Derivatives

作者：Lee Seung Jun^*; Kim Jong Hwan; Kang Seok Jae; Choe Wonhee; Ko Sung Jea

来源：IEEE Transactions on Consumer Electronics, 2015, 61(3): 368-375.

DOI：10.1109/tce.2015.7298297

• Edge-preserving interpolation
• noise-robust interpolation
• second-order directional-derivative

It is a challenging work to reproduce the high resolution (HR) image from a noisy low resolution input while preserving its edge structures. In this paper, a fast noise-robust interpolation method is proposed. In the proposed method, the edge information of a pixel to be interpolated is first estimated using a local curvature (LC), which is a second-order directional-derivative obtained from its local neighborhoods. Based on the edge information of the pixel, edge-adaptive interpolation with noise reduction is performed using the proposed LC adaptive filter whose kernel is adaptively determined by comparing the LC values along the two orthogonal directions. A refinement procedure is adopted to further enhance the edge information of the HR image by applying a Laplacian subtraction method using the pre-computed LC values. Experimental results show that the proposed method can preserve the edge sharpness while suppressing noise, with low computational complexity.

• 出版日期2015-8