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Shape-adaptive model-based codec for lossy and lossless compression of images

机译:基于形状自适应模型的编解码器,可对图像进行有损和无损压缩

摘要

The present invention relates to methods and codecs for image compression and video compression. Embodiments of the present invention support binary shape and matte segmentation and soft segmentation image compression by decomposing the input shape for flexible lossy and lossless coding into deterministic and probabilistic components A new shape adaptive model-based codec (SAM). The present invention can provide inter / intra prediction and flexibly fits between lossy and lossless modes with various parameters for compression quality control. The compression module can also be adapted using a number of other compression techniques. [Selection] Figure 3
机译:本发明涉及用于图像压缩和视频压缩的方法和编解码器。本发明的实施例通过将用于灵活的有损和无损编码的输入形状分解为确定性和概率性分量,来支持二进制形状和无光泽分割以及软分割图像压缩。一种新的基于形状自适应模型的编解码器(SAM)。本发明可以提供帧间/帧内预测,​​并且在具有各种参数的有损和无损模式之间灵活地拟合以用于压缩质量控制。压缩模块也可以使用多种其他压缩技术来适配。 [选择]图3

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