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All Colors Motion Estimation for the Frame Sequential Video with Pastel Color

机译:柔和色帧顺序视频的所有颜色运动估计

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Currently, Y, Cb, Cr 4:2:0 system is widely used as the color format for the video system. We have proposed the frame sequential system as an alternative method which has one color plane in a frame. In this system, the conversion to usual RGB requires a motion compensated color interpolation. However, it is not easy in the case of high saturation color images, because of its difference between color planes. To solve this problem, we have proposed the color format which has dependent colors. The primary colors (RGB) are changed to pastel colors. To address the conversion to RGB, motion estimation should be used, some problem of motion vector still remains. To correct motion vectors, the process of motion estimation should be enhanced. In this paper, all colors motion estimation is added as new motion estimation after the previous motion estimation. We use these processes as two stages motion estimation. Two stages motion estimation is compare to the previous only. From experimental results, all colors motion estimation gives higher PSNR. The maximum of PSNR gain is about 1dB.
机译:当前,Y,Cb,Cr 4:2:0系统被广泛用作视频系统的颜色格式。我们已经提出了帧顺序系统,作为一种在帧中具有一个色平面的替代方法。在此系统中,向常规RGB的转换需要运动补偿的颜色插值。但是,由于彩色平面之间的差异,在高饱和度彩色图像的情况下这并不容易。为了解决这个问题,我们提出了具有相关颜色的颜色格式。原色(RGB)更改为柔和色。为了解决向RGB的转换,应使用运动估计,但运动矢量仍然存在一些问题。为了校正运动矢量,应该增强运动估计的过程。在本文中,所有颜色的运动估计在先前的运动估计之后被添加为新的运动估计。我们将这些过程用作运动估计的两个阶段。两阶段的运动估计仅与前一个阶段进行比较。从实验结果来看,所有颜色的运动估计都可以提供更高的PSNR。 PSNR增益的最大值约为1dB。

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