Dual region based color channel registration for multiple color filtered aperture image

Shuxiang Song, Sangwook Park, J. Paik
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Abstract

This paper presents a dual region based cross-channel registration for the dual color-filter aperture (DCA) image. Despite a DCA image contains depth information, disparity calculation between its color channels is a complex problem. The proposed registration method consists of four steps: (1) dual region division, (2) disparity map generation using Cross-Channel Normalized Gradient (CCNG), (3) disparity refinement using simple linear iterative clustering(SLIC) superpixel and (4) reconstruction aligned color channel using inpainting. Experiment result shows that the proposed method performs significant for DCA image registration and depth estimation.
基于双区域的彩色通道配准多色滤光孔径图像
提出了一种基于双区域的双彩色滤光孔径图像的跨通道配准方法。尽管DCA图像包含深度信息,但其颜色通道之间的视差计算是一个复杂的问题。该配准方法包括四个步骤:(1)双区域划分,(2)使用跨通道归一化梯度(CCNG)生成视差图,(3)使用简单线性迭代聚类(SLIC)超像素进行视差细化,(4)使用inpainting重建对齐的颜色通道。实验结果表明,该方法对DCA图像配准和深度估计都有较好的效果。
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