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Stereo picture quality estimation based on a multiple channel HVS model

机译:基于多通道HVS模型的立体声图像质量估算

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摘要

The understanding and estimation of stereo images are very important. There are many models of human visual system for planar image. It is blank for stereo image. An estimation of stereo image quality is proposed based on a multiple channel human visual system (HVS) for use in image compression. The model is based on a plane model, but has some modifications that make it is more suitable to stereo image pair. Difference as the important characteristic of stereo images is used to evaluate the quality of stereo image.
机译:理解和估计立体图像非常重要。平面图像有许多人体视觉系统。它是空白的立体图像。基于用于图像压缩的多通道人类视觉系统(HVS),提出了立体图像质量的估计。该模型基于平面模型,但具有一些修改,使其更适合于立体图像对。随着立体图像的重要特征的差异用于评估立体图像的质量。

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