Fast Block Edge Direction Analysis in DCT domain

Xiangwen Wang, Haiquan Wang, Yongzhong Huang
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引用次数: 3

Abstract

Detecting edge existence and analyzing the edge direction in a block level is useful in the applications, such as perceptually improved image processing, blocking artifacts reduction, content-based retrieval, senses changing detection, etc. This paper proposes a novel Fast Block Edge Direction Analysis method. The method is derived from a simple pixel domain in a deductive way. Then we demonstrate how to calculate the key parameters of the method with DCT coefficients. With this method, one block is classified into one of the 17 category edges: No edge plus 16 different edge patterns. The calculation of the key parameters can be calculated with extremely low complexity both in pixel domain and in DCT domain.
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DCT域快速块边缘方向分析
在块水平上检测边缘的存在和分析边缘的方向在感知改进图像处理、减少块伪影、基于内容的检索、感知变化检测等应用中是有用的。提出了一种新的快速块边缘方向分析方法。该方法是从一个简单的像素域以演绎的方式导出的。然后,我们演示了如何用DCT系数计算该方法的关键参数。使用这种方法,将一个块划分为17类边中的一种:无边加16种不同的边图案。无论在像素域还是DCT域,关键参数的计算都能以极低的复杂度进行计算。
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