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增强基于泊松方程的离散余弦变换(DCT)预测方法

Enhancing Poisson's equation-based approach for DCT prediction.

作者信息

Lakhani Gopal

出版信息

IEEE Trans Image Process. 2008 Mar;17(3):427-30. doi: 10.1109/TIP.2007.915560.

Abstract

Yamatani and Saito recently published an interesting method for predicting discrete cosine transform (DCT) coefficients of an image block, which uses partial derivatives of the image at the block boundary points. It estimates partial derivatives the same way for all four side boundary points. In this correspondence, we improve their estimation method for the left and top side boundary points by observing that the decoder can use 1-D DCT of the rightmost column of pixels of the block on the left side and bottom row pixels of the block on the top side instead of using just the DC of these two blocks. It led us to revise their prediction equations. Experimental results show that the cumulative reduction in the size of the first five AC coefficients obtained using their equations is 15.1%, and the same using our equations is 24.6%.

摘要

谷谷和齐藤最近发表了一种预测图像块离散余弦变换(DCT)系数的有趣方法,该方法使用图像在块边界点处的偏导数。它对所有四个侧边边界点都以相同的方式估计偏导数。在本通信中,我们通过观察到解码器可以使用左侧块最右列像素的一维DCT和顶部块最下行像素的一维DCT,而不是仅使用这两个块的直流分量,改进了他们对左侧和顶部边界点的估计方法。这使我们对他们的预测方程进行了修正。实验结果表明,使用他们的方程得到的前五个交流系数的尺寸累积减小率为15.1%,而使用我们的方程则为24.6%。

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