摘要：
介绍一种基于感兴趣区域的非线性变换的多描述图像编码，能够与目前的标准图像压缩算法兼容，对图像的感兴趣区域进行更好的保护。由感兴趣区域的非线性几何变换产生冗余，对图像进行采样形成多描述编码。通过仿真实验，证实当图像在差错信道下传输而丢失描述时，该算法能够使图像感兴趣区域得到更好的恢复。
关键词:
多描述编码,
感兴趣区域,
非线性几何变换,
多级树集合分裂
Abstract:
This paper introduces a nonlinear transformation multiple description image coding algorithm based on the Region Of Interest(ROI). It can be compatible with the current standard image compression algorithms, and give the ROI better protection. The redundance can be got from the nonlinear geometric transformation of the ROI, and sampling of the images to form the Multiple Description Coding(MDC). Through the simulation experiment, when the images are in the error-prone channels and lose descriptions, the algorithm can be a better method to recovery the ROI.
Key words:
Multiple Description Coding(MDC),
Region Of Interest(ROI),
nonlinear geometric transformation,
Set Partitioning In Hierarchical Trees(SPIHT)
中图分类号:
王礽晓, 倪林, 刘权. 感兴趣区域的非线性变换多描述编码[J]. 计算机工程, 2011, 37(6): 215-217.
WANG Reng-Xiao, NI Lin, LIU Quan. Nonlinear Transformation Multiple Description Coding for ROI[J]. Computer Engineering, 2011, 37(6): 215-217.