An edge-preserving iterative back-projection method for image super-resolution

Jing Tan; Zhi-qiang Tao; Ai-hua Cao; Hai-ling Li; Hong-bing Zhang

doi:10.1117/12.2248326

29 August 2016 An edge-preserving iterative back-projection method for image super-resolution

Jing Tan, Zhi-qiang Tao, Ai-hua Cao, Hai-ling Li, Hong-bing Zhang

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003348 (2016) https://doi.org/10.1117/12.2248326
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

As an effective super-resolution reconstruction technique, the original iterative back-projection (IBP) suffers from jaggy artifacts around the edge caused by the initial estimation of high-resolution image obtained with traditional interpolation methods like bilinear interpolation. In this paper, we present an edge-preserving iterative back-projection method for image super-resolution, which employs an effective edge-preserving interpolation method called iterative curvature based interpolation (ICBI) method for up-sampling to get the initial estimation of high-resolution image. The proposed method combines the IBP algorithm with the ICBI method which is a two-step grid filling and an iterative correction of the interpolated pixels obtained by minimizing an objective function depending on the second-order directional derivatives of the image intensity. Experiment results increases the PSNR compared to other existing algorithms and also improves edge quality of the image considerably.

Citation Download Citation

Jing Tan, Zhi-qiang Tao, Ai-hua Cao, Hai-ling Li, and Hong-bing Zhang "An edge-preserving iterative back-projection method for image super-resolution", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003348 (29 August 2016); https://doi.org/10.1117/12.2248326

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