论文标题
DCT近似基于Chen的分解
DCT Approximations Based on Chen's Factorization
论文作者
论文摘要
在本文中，提出了基于陈的分解的两个8点无乘法DCT近似值，并且还得出了它们的快速算法。通过计算成本，误差能和编码增益来评估这两种转换。进行具有JPEG样图像压缩方案的实验，并将结果与竞争方法进行比较。根据JRIDI-Alfalou-Meher算法缩放提出的低复杂性转换，以实现16分和32分的近似值。新的转换集嵌入到HEVC参考软件中，以提供完全符合HEVC的视频编码方案。我们表明，近似转换可以以非常低的复杂性成本胜过传统变换和最新方法。
In this paper, two 8-point multiplication-free DCT approximations based on the Chen's factorization are proposed and their fast algorithms are also derived. Both transformations are assessed in terms of computational cost, error energy, and coding gain. Experiments with a JPEG-like image compression scheme are performed and results are compared with competing methods. The proposed low-complexity transforms are scaled according to Jridi-Alfalou-Meher algorithm to effect 16- and 32-point approximations. The new sets of transformations are embedded into an HEVC reference software to provide a fully HEVC-compliant video coding scheme. We show that approximate transforms can outperform traditional transforms and state-of-the-art methods at a very low complexity cost.
