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基于Delaunay三角形网格的立体图像编码算法

Delaunay Triangulation Mesh Based Stereo Image Coding Algorithm

  • 摘要: 传统的立体图像编码方法多采用基于块的视差补偿算法,但这种算法不能更为准确地估计视差矢量,在低码率时重建图像的块效应比较严重.提出了一种新的基于Delaunay三角形网格的立体图像编码算法,该算法首先对参考图像进行自适应的三角形网格剖分,然后对三角形顶点在目标图像中进行视差矢量估计.利用三角形模型和6参数仿射变换计算三角形内部各点的视差矢量,并产生残差图像.结合实验统计对文中算法产生的残差图像进行了分析,采用嵌入式DCT算法编码残差图像.从实验结果看,文中算法视差矢量估计的准确性较传统算法提高了10%左右.在相近比特率下,平均PSNR大约提高1dB.

     

    Abstract: Traditional way of stereo image coding uses the framework of block-based disparity estimation and disparity-compensated residual coding.But the estimated disparity vectors are inaccurate,and it tends to produce artifacts at block boundaries in the predicted image,especially when low rate coding is used.The proposed DT mesh-based stereo image coder uses adaptive DT mesh to extract "feature points",which are used for disparity estimation.Then,disparity vectors inside a triangle are computed using six-parameter affine transform. The residual image is encoded by EZDCT. Simulation results show that the proposed scheme raised the accuracy of disparity estimation at least 10% as compared to conventional algorithms.It improves average PSNR about 1dB.

     

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