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Segmentation-based image compression for video cassette recorders

机译:盒式录像机的基于分段的图像压缩

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Abstract: Studio-quality video cassette recorders used for editing need intraframe compression schemes that can compress/decompress an image many times without appreciable degradation. They also require fast-forward playback of a low-quality image using only a small part of the compressed data. A system with these features is reported, based on image segmentation. A segmented approximation to the original image is losslessly encoded and a residual image is created. The lossless coding scheme is motivated by examining the constraints caused by channel errors and trick play modes. The residual image is coded by a conventional data compression technique. By preserving the main image features with a lossless code, the multi- generation performance is stabilized. Because segmentation is shift-invariant, edits that include x-y shifting between generations do not degrade performance. This paper reports a new segmentation algorithm. It has high resolution, obtained in part by a newly designed edgeness measurement. Using this, images are segmented to pixel accuracy by an algorithm which is only O[n] in complexity. Multi-generation simulations of sequences with 4:1 compression ratios are presented at both normal and shuttle speeds, using both sub-band and DCT residual coders.!14
机译:摘要:用于编辑的工作室质量的盒式磁带录像机需要帧内压缩方案,该方案可以多次压缩/解压缩图像而不会产生明显的降级。它们还要求仅使用压缩数据的一小部分来快速回放低质量的图像。基于图像分割,将报告具有这些功能的系统。对原始图像的分段近似进行无损编码,并创建残差图像。通过检查由信道错误和特技播放模式引起的约束来激励无损编码方案。残留图像通过常规的数据压缩技术进行编码。通过使用无损代码保留主要图像特征,可以稳定多代性能。由于分段是移位不变的,因此在世代之间进行x-y移位的编辑不会降低性能。本文报告了一种新的分割算法。它具有高分辨率,部分是通过新设计的边缘度测量获得的。使用此算法,可以通过仅复杂度为O [n]的算法将图像分割为像素精度。使用子带和DCT残余编码器,以正常和穿梭速度呈现了压缩比为4:1的序列的多代仿真。14

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