基于对象可伸缩网格的合成和自然图像对象编码

Y. Altunbasak
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引用次数: 2

摘要

本文提出了一种基于对象的图像编码方案,在指定图像对象边界的情况下,对每个图像对象进行单独编码。除了根据每个图像对象的要求混合有损和无损编码模式外,这还允许基于对象的质量可伸缩性。在此基础上,提出了一种基于二维网格图像采样的目标编码方法,该方法将四边形网格块扭曲成正方形块,并采用传统的数据/波形编码方法进行编码。给出了测试图像的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object-scalable mesh-based coding of synthetic and natural image objects
This paper presents an object-based image coding scheme, where each image object is encoded individually, provided that their boundaries are specified. This allows object-based quality scalability, in addition to mixing lossy and lossless coding modes depending on the requirements of each image object. Furthermore, we propose a new object coding method using 2-D mesh-based image sampling in which the quadrilateral mesh patches are warped into square blocks, and encoded by traditional data/waveform coding methods. Experimental results on test images are provided.
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