| 快速方向字典插值的中低倍率超分辨率算法 |
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| 引用本文： | 王钟斐,王彪.快速方向字典插值的中低倍率超分辨率算法[J].计算机科学与探索,2020,14(2):336-343. |
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| 作者姓名： | 王钟斐 王彪 |
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| 作者单位： | 宝鸡文理学院 数学与信息科学学院,陕西 宝鸡 721013;宝鸡文理学院 数学与信息科学学院,陕西 宝鸡 721013 |
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| 基金项目： | the Natural Science Basic Research Program of Shaanxi Province under Grant No. 2014JM1027 (陕西省自然科学基础研究计划项目);the Science and Technology Plan Project of Baoji under Grant No. 2018JH-18 (宝鸡市科技计划项目);the Special Scientific Research Project of Shaanxi Education Department under Grant No. 17JK0047 (陕西省教育厅专项科研计划项目);the Key Project of Baoji University of Arts and Sciences under Grant No. ZK2017001 (宝鸡文理学院校级重点项目);The National Natural Science Foundation of China under Grant No. 61602010 (国家自然科学基金) |
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| 摘 要： | 在中低倍率实时超分辨率显示系统中,为了进一步提高重建图像质量的同时降低运算复杂度,提出了一种全方向字典拟合插值的中低倍率快速超分辨率算法。对每个高分辨率图像中待插值像素,首先在对应的低分辨率插值区间中,采用金字塔纹理字典查找主纹理方向,然后根据待插值像素位置进行插值方向修正,最后通过单边拟合的插值方法得到插值结果。实验结果表明,与基于线性映射的边缘定位超分辨率算法(SREO)相比,该算法的峰值信噪比(PSNR)和结构相似度(SSIM)平均分别提高了0.73 dB和0.04,同时平均运算时间减少了40%。
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| 关 键 词： | 超分辨率 中低倍率 纹理 插值 |
Fast Directional Dictionary Interpolation Super Resolution Algorithm in Medium and Low Magnification |
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| WANG Zhongfei,WANG Biao.Fast Directional Dictionary Interpolation Super Resolution Algorithm in Medium and Low Magnification[J].Journal of Frontier of Computer Science and Technology,2020,14(2):336-343. |
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| Authors: | WANG Zhongfei WANG Biao |
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| Affiliation: | (School of Mathematics and Information Science,Baoji University of Arts and Sciences,Baoji,Shaanxi 721013,China) |
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| Abstract: | In a real-time medium and low magnification super resolution display system,a fast medium and low magnification super resolution algorithm using all directional dictionary and fitting interpolation is proposed to improve the reconstruction image performance and reduce the computational complexity.For every interpolated pixel in high resolution image,first of all,the main texture direction of the corresponding interpolation interval in low resolution image is obtained through the pyramid texture dictionary.Then,the interpolation direction is modified based on the interpolated pixel position.Finally,the interpolation result is obtained by the unidirectional fitting interpolation.Simulation results show that compared with SREO(super resolution using edge orientation based on linear mapping),the proposed algorithm improves PSNR(peak signal to noise ratio)and SSIM(structural similarity)by 0.73 dB and0.04 averagely and respectively.Moreover,the average computation time is reduced about 40%in the proposed algorithm. |
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| Keywords: | super resolution medium and low magnification texture interpolation |
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