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描述的子空间投影技术(SPT)是一种把视差补偿(DC)和二维低阶近似相结合的立体图像编码方法。这种算法可以随着立体对交叉相关特性的改变而局部自适应。在视差估计失败的遮挡区域,由低阶近似提供比较理想的投影图像,并通过零阶项对立体对的光学度变化进行补偿。实验结果表明,SPT方法其峰值信噪比(PSNR)高于像块尺寸固定的视差补偿算法。
The described subspace projection technique (SPT) is a stereo image encoding method that combines disparity compensation (DC) with two-dimensional low-order approximation. This algorithm can be locally adapted as the stereoscopic cross-correlation properties change. In the occlusion region where the parallax estimation fails, the low-order approximation provides the ideal projection image, and compensates for the optical change of the stereo pair through the zero-order term. The experimental results show that the PSNR of the SPT method is higher than that of the parallax compensation algorithm with a fixed block size.