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An effective inpainting technique for hole filling in DIBR synthesized images

机译:DIBR合成图像中孔填充的有效修复技术

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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:本文提出了一种用于深度图像的渲染(DIBR)合成图像技术的有效图像批量方法,以解决纹理图像中的脱离孔问题及其各自的深度图。脱象的区域或孔,根据孔的尺寸来分类,更为重要的是那些出现在物体边界的那些,通常在两个大的深度值差异之间。基于示例的初始化包含用于复制大型解离区域的纹理和结构所需的基本过程。所提出的技术专注于预处理以改善使用Sobel算法的梯度检测,然后通过Sobel算法,然后是基于深度辅助的示例的技术,给出了令人鼓舞的结果。

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