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Object-scalable mesh-based coding of synthetic and natural image objects

机译:基于对象可缩放的基于网格的合成和自然图像对象编码

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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.
机译:本文提出了一种基于对象的图像编码方案,其中每个图像对象都被单独编码,只要指定了它们的边界即可。除了根据每个图像对象的要求混合有损和无损编码模式之外,这还允许基于对象的质量可伸缩性。此外,我们提出了一种使用基于二维网格的图像采样的新对象编码方法,该方法将四边形网格块扭曲为正方形块,并通过传统的数据/波形编码方法进行编码。提供了有关测试图像的实验结果。

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