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An effective inpainting technique for hole filling in DIBR synthesized images

机译:一种有效的DIBR合成图像填充孔修补技术

摘要

This paper proposes an effective image inpainting method for Depth-Image-Based Rendering (DIBR) synthesized images technique to solve disocclusion holes problems in texture images and their respective depth maps. Disoccluded areas, or holes, are classified depending on the size of the hole, being more critical those that appear in the border of the objects, normally between two great depth value differences. Exemplar-based inpainting contains the essential process required to replicate texture and structure for large dissocluded area. The proposed technique focus on preprocessing to improve gradient detection using sobel algorithm followed by a depth-aided exemplar-based technique gives encouraging results.
机译:提出了一种基于深度图像的合成图像技术的有效图像修复方法,以解决纹理图像及其各自深度图中的遮挡孔问题。根据孔的大小对遮挡区域或孔进行分类,对出现在对象边界(通常在两个较大的深度值差之间)的区域而言,更为关键。基于示例的修补包含用于复制大面积散乱区域的纹理和结构所需的基本过程。所提出的技术集中于使用sobel算法改进梯度检测的预处理,然后是基于深度辅助的基于示例的技术,给出了令人鼓舞的结果。

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