首页> 外国专利> A BOUNDARY NOISE REMOVAL AND HOLE FILLING METHOD FOR VIRTUAL VIEWPOINT IMAGE GENERATION

A BOUNDARY NOISE REMOVAL AND HOLE FILLING METHOD FOR VIRTUAL VIEWPOINT IMAGE GENERATION

机译:虚拟视点图像生成的边界噪声消除和孔填充方法

摘要

The present invention relates to a boundary noise removal and hole filling method for virtual viewpoint image generation capable of, when generating a virtual viewpoint depth image from a reference viewpoint depth image, expanding boundary noise presenting in the virtual viewpoint depth image to a hole region, respectively obtaining pixel values in the hole region by a spiral weighted average method and a gradient searching method, combining filling regions using a weighted value, and filling the hole region, the boundary noise removal and hole filling method comprising the steps of: (a) generating a virtual viewpoint image from the reference viewpoint depth image by a 3D warping method; (b) detecting a boundary noise region from a region adjacent to a hole and expanding pixels in the boundary noise region to the hole region; (c) filling each hole in the hole region with pixels by the spiral weighted average method to obtain a first filling region; (e) filling each hole in the hole region with pixels by the gradient searching method to obtain a second filling region; (f) combining the first and second filling regions using the weighted value to generate a final filling region; and (g) filling the hole region of the virtual viewpoint image with the final filling region to obtain a final virtual viewpoint image. Thus, the spiral weighted average method using the minimum object information by using depth information but obtaining a smeared image, and the gradient searching method preserving fine details by using the gradient of an image can be used to supplement the demerits of the two methods and apply the merits thereof at the same time, thereby obtaining a natural and good-quality image. [Reference numerals] (AA) Start; (BB) End; (S10) Generate a virtual viewpoint depth image; (S20) Detect a boundary noise region to expand to a hole region; (S30) Obtain a first filling region by a spiral weighted average method; (S40) Obtain a second filling region by a gradient searching method; (S50) Combine the first and second filling regions using a weighted value to generate a final filling region; (S60) Fill the hole region with the final filling region to obtain a final virtual viewpoint image
机译:本发明涉及一种用于虚拟视点图像生成的边界噪声去除和填充孔的方法,该方法能够在从参考视点深度图像生成虚拟视点深度图像时,将呈现在虚拟视点深度图像中的边界噪声扩展到孔区域,通过螺旋加权平均法和梯度搜索法分别获得孔区域中的像素值,使用加权值组合填充区域,并填充孔区域,边界噪声去除和孔填充方法包括以下步骤:(a)通过3D变形方法从参考视点深度图像生成虚拟视点图像; (b)从邻近孔的区域检测边界噪声区域,并将边界噪声区域中的像素扩展到孔区域; (c)通过螺旋加权平均法用像素填充孔区域中的每个孔以获得第一填充区域; (e)通过梯度搜索法用像素填充孔区域内的每个孔以获得第二填充区域; (f)利用加权值组合第一和第二填充区域以产生最终的填充区域; (g)用最终填充区域填充虚拟视点图像的孔区域以获得最终虚拟视点图像。因此,可以使用通过使用深度信息来最小化对象信息但获得模糊图像的螺旋加权平均方法,以及通过使用图像的梯度来保留细节的梯度搜索方法来补充这两种方法的缺点并加以应用。同时具有优点,从而获得自然优质的图像。 [参考数字](AA)开始; (BB)结束; (S10)生成虚拟视点深度图像; (S20)检测边界噪声区域以扩展到孔区域; (S30)通过螺旋加权平均法获得第一填充区域; (S40)通过梯度搜索法获得第二填充区域; (S50)利用权重值合并第一填充区域和第二填充区域,以产生最终填充区域; (S60)用最终的填充区域填充孔区域以获得最终的虚拟视点图像

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