Image interpolation using median characteristics and spatial information

Lianghai Jin; Caiquan Xiong; Xingzhong Yao

doi:10.1117/12.750967

14 November 2007 Image interpolation using median characteristics and spatial information

Lianghai Jin, Caiquan Xiong, Xingzhong Yao

Author Affiliations +

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891A (2007) https://doi.org/10.1117/12.750967
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

By combining the median characteristics of the neighboring pixels around the interpolation points and their spatial information, a novel image interpolation algorithm is introduced in this paper. The proposed interpolator first utilizes both the aggregated gray differences and the spatial distances to compute the weights associated with the neighboring pixels and then employs a data-adaptive filter to estimate the interpolated pixels. The experimental results demonstrate the validity of the proposed interpolator by showing significant performance improvements against the conventional interpolation methods.

Citation Download Citation

Lianghai Jin, Caiquan Xiong, and Xingzhong Yao "Image interpolation using median characteristics and spatial information", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891A (14 November 2007); https://doi.org/10.1117/12.750967

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