Video image super-resolution restoration based on iterative back-projection algorithm

B. Wan, Lin Meng, Dong Ming, Hongzhi Qi, Yong Hu, K. Luk
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引用次数: 15

Abstract

Image fusion was one of the most important technology of pattern recognition. This paper proposed a fast superresolution image reconstruction algorithm basing on image sequences. Iterative back-projection (IBP) technique was used to construct high resolution from image sequences. roughly registered basing on feature and then use Registration algorithm basing on Gray to optimize the result. Iterative back-projection technique was used to construct high resolution from image sequences. Experimental results show that this algorithm solve the problem that the translation and rotation is small in traditional method. The details, definition and resolution of high resolution image processed with the proposed method are effectively improved.
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基于迭代反投影算法的视频图像超分辨率恢复
图像融合是模式识别的重要技术之一。提出了一种基于图像序列的快速超分辨率图像重建算法。采用迭代反投影(IBP)技术从图像序列中构建高分辨率图像。基于特征进行粗配准,然后使用基于灰度的配准算法对结果进行优化。采用迭代反投影技术从图像序列中构造高分辨率图像。实验结果表明,该算法解决了传统方法平移和旋转量小的问题。该方法有效地改善了高分辨率图像的细节、清晰度和分辨率。
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