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Low-complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform

机译:基于近似离散系统的低复杂度图像和视频编码   Tchebichef变换

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摘要

The usage of linear transformations has great relevance for datadecorrelation applications, like image and video compression. In that sense,the discrete Tchebichef transform (DTT) possesses useful coding anddecorrelation properties. The DTT transform kernel does not depend on the inputdata and fast algorithms can be developed to real time applications. However,the DTT fast algorithm presented in literature possess high computationalcomplexity. In this work, we introduce a new low-complexity approximation forthe DTT. The fast algorithm of the proposed transform is multiplication-freeand requires a reduced number of additions and bit-shifting operations. Imageand video compression simulations in popular standards shows good performanceof the proposed transform. Regarding hardware resource consumption for FPGAshows 43.1% reduction of configurable logic blocks and ASIC place and routerealization shows 57.7% reduction in the area-time figure when compared withthe 2-D version of the exact DTT.
机译:线性变换的使用与数据解相关应用(如图像和视频压缩)有很大的关联。从这个意义上讲,离散Tchebichef变换(DTT)具有有用的编码和解相关特性。 DTT转换内核不依赖于输入数据,可以将快速算法开发为实时应用程序。然而,文献中提出的DTT快速算法具有很高的计算复杂度。在这项工作中,我们为DTT引入了新的低复杂度近似。提出的变换的快速算法是无乘法的,并且需要减少数量的加法和移位操作。流行标准中的图像和视频压缩模拟显示了所提出的变换的良好性能。关于FPGA的硬件资源消耗,与精确DTT的2-D版本相比,可配置逻辑块和ASIC位置减少了43.1%,而路由实现则将时间面积减少了57.7%。

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