Saliency adaptive super-resolution image reconstruction |
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Authors: | Zhenyu Liu Jing Tian Li Chen Yongtao Wang |
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Institution: | 1. National Lab of Radar Signal Processing, School of Electronic Engineering, Xidian University, Xi''an, Shaanxi Province, China;2. School of Artificial Intelligence, Xidian University, Xi''an, Shaanxi Province, China;3. Beijing Institute of Technology, Beijing, China |
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Abstract: | A saliency-based approach is proposed in this paper to perform super-resolution image reconstruction, with the aim to produce a higher-resolution image based on its low-resolution counterparts. The proposed approach adaptively adjusts the degree of regularization using the saliency measure of the local content of the image. Furthermore, a gradient-based criterion is proposed to measure the saliency of the image. Experiments are conducted to demonstrate the superior performance of the proposed approach. |
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