研究了计算机重构三维图像时分辨率低的问题,提出一种改善3D计算机全景重构图像的视觉质量的方法,该方法利用3D空间的物体部分在每个元素图像中形成的匹配区域的纹理特征,从两个相邻的元素图像中的匹配区域提取出多个像素,经过加权计算重构出相应的图像区域.该方法与传统的计算机重构方法相比,提高了图像分辨率,同时也消除了从每个元素图像中提取多个像素直接重构图像时存在的“像素块”效应,改善了重构图像的视觉质量.

The low-resolution of computational reconstructed 3D images was analyzed and a method of improving visual quality of computational integral imaging reconstructed images was proposed.The proposed method was based on texture features in the matching regions of the same object region through different lenslets.Several pixels were extracted from two matching regions in adjacent elemental images to reconstruct corresponding image region after weighted calculation.Compared with conventional reconstructed methods,this method removes pixel-blocking effect existing in direct reconstruction of pixel blocks and improves viewing quality of reconstructed image.