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Nearly Lossless Compression of Arbitrary Images

机译:任意图像的几乎无损压缩

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Multiple videos such as those collected using monitoring and surveillance applications generate large amounts of data. Significant reduction in data-rates are achievable if frames in these video sequences are jointly compressed. This paper describes a compression algorithm that can jointly, pair-wise compress two (or more) video frames by creating one video frame and a difference frame. The difference frame is computed by taking the difference between DCT coefficient matrix of the two frames. No similarity between frames or moving objects is assumed. Instead, we rely upon the inter-frame and intra-frame correlation characteristics at the macro-block level. The technique is applied for frames exhibiting inter-frame correlation coefficient as low as 0.1. A compression-ratio of close to 30% is obtained.
机译:多个视频(例如使用监视和监视应用程序收集的视频)会生成大量数据。如果联合压缩这些视频序列中的帧,则可以实现数据速率的显着降低。本文介绍了一种压缩算法,该算法可以通过创建一个视频帧和一个差异帧来联合,成对压缩两个(或多个)视频帧。通过取两个帧的DCT系数矩阵之间的差来计算差帧。假定帧或移动对象之间没有相似性。相反,我们在宏块级别依赖帧间和帧内相关特性。该技术适用于帧间相关系数低至0.1的帧。获得接近30%的压缩比。

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