基于深度图像绘制技术的Criminisi算法的改进

摘要

针对基于深度图像绘制技术(depth-image based rendering,DIBR)中产生的空洞问题,为提高虚拟视点质量,提出一种基于深度图像绘制技术的Criminisi改进算法.对优先级进行改进,加入指数形式的置信度项和新的数据项,加强对细节部分的填补;在搜索最佳匹配块时,采用新的颜色匹配因子,添加梯度因子,结合深度因子,对映射后的纹理图和相对应的深度图进行搜索匹配.实验结果表明,相较传统空洞填补算法,改进算法在主观图像质量与客观峰值信噪比(peak signal to noise ratio,PSNR)方面有所提高.%Aiming at the problem of holes generated in the depth-image based rendering technology, to improve the quality of virtual viewpoint, an improved Criminisi algorithm based on DIBR was proposed.The priority was improved, and an exponential confidence term and data term were added to enhance the details filling.When searching for a matching block area, a new color matching factor was adopted, a gradient factor was added, the texture image and depth image were matched combining with depth factor after warping.Experimental results indicate that the improved method significantly enhances the quality of picture and PSNR compared with traditional hole filling algorithm.