A new approach for intermediate view synthesis based on NSCT and fusion

Fangfang Li, Jifeng Sun
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Abstract

NSCT (Non-Subsampled Contourlet Transform) is widely used in image fusion according to its multiscale, multiorientation and translation invariance. In this paper, a new intermediate view synthesis approach for free viewpoint video based on NSCT and image fusion is proposed. SIFT descriptor is used to detect the distinctive features as matching points of the given images. Then homography matrix is calculated by the matching points, so that the given images can be wrapped to the middle position, and transformed into NSCT domain to fuse, then we fill the holes by blending neighboring colors, the image generated is the intermediate view. The experimental results show that the viability of the proposed method is good.
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基于NSCT和融合的中间视图合成新方法
非下采样Contourlet变换(non - subsampling Contourlet Transform, NSCT)以其多尺度、多方向、平移不变性等特点在图像融合中得到了广泛的应用。提出了一种基于NSCT和图像融合的自由视点视频中间视图合成方法。SIFT描述符用于检测给定图像的显著特征作为匹配点。然后由匹配点计算单应性矩阵,使给定图像被包裹到中间位置,并转换到NSCT域进行融合,然后通过混合相邻颜色填充孔,生成的图像即为中间视图。实验结果表明,该方法具有良好的可行性。
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