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基于彩色空间变换的迭代反射投影遥感影像的超分辨率重建

Super Resolution Reconstruction of Iterative Back Projection on Remote Sensing Image Based on Color Space Transformation
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摘要 针对单帧迭代反射投影影像存在重建质量不高的问题,本文在分析了彩色空间变换和迭代反射投影算法的基础上,提出了一种基于彩色空间变换和迭代反射投影相结合的超分辨率重建算法。该算法结合了彩色空间变换和迭代反射投影算法的优势,通过彩色空间变换将RGB彩色空间转换到YCbCr彩色空间,对亮度信息分量Y进行迭代反射投影算法使得重构误差最小化。在Cb和Cr两个色差分量通道采用简单的双三次插值算法来降低算法复杂度,最后将重建得到的结果转换回RGB彩色空间。实验结果表明:该算法得到结果与现有其他算法相比得到的峰值信噪比高,且运算复杂度低,可明显提高重建质量。 For the problem of single super resolution reconstruction , we analysis the color space transformation and iterative back projection algorithm, we propose a super resolution reconstruction algorithm based on a combination of color space transform and iterative back algorithm. The algorithm combines the advantage of the color space transformation and iterative back projection algorithm, the color space transformation converts the RGB color space to YCbCr color space, we use iterative reflective projection algorithm in Y channel to make the reconstruction error minimization. And we use the bicubic interpolation algorithm in CB and Cr channel to reduce the complexity of the algorithm, finally we will transformed the reconstruct results into the RGB color space. Experimental results show that the proposed algorithm has higher peak signal-to-noise ratio and lower computational complexity compared with other existing algorithms, and improves the quality of reconstruction significantly.
作者 郭桐宇
出处 《测绘与空间地理信息》 2018年第11期103-105,109,共4页 Geomatics & Spatial Information Technology
关键词 彩色空间变换 迭代反射投影 超分辨率重建 color space transformation iterative back projection super resolution reconstruction
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