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Grid Based Method for Computing DCT Coefficients in Arbitrary Rectangle Region

机译:基于网格的矩形区域DCT系数计算方法

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At present, almost all digital images are transferred to the compressed format for storing and communication reason, in which the discrete cosine transform (DCT) based compression method remains an effective and important way for image compression because of the effort from JPEG. It is considerable to introduce image processing techniques such as feature extraction, pattern recognition and image indexing to the compressed image domain. In these image processing techniques, they all involve operations on arbitrary regions in images. So it is critical to find an effective way to calculate the DCT coefficients in arbitrary regions. To this end, we propose a grid based approach to find the most suitable relationship between DCT coefficients in 8*8 macro-blocks and arbitrary rectangle region. Experiment result reveals that the proposed method has a lower computational complexity than the butterfly algorithm (BA) when computing the DCT coefficients in arbitrary rectangle region.
机译:目前,出于存储和通信的原因,几乎所有的数字图像都被转换为压缩格式,其中由于基于JPEG的努力,基于离散余弦变换(DCT)的压缩方法仍然是有效且重要的图像压缩方式。将诸如特征提取,模式识别和图像索引之类的图像处理技术引入压缩图像域是相当重要的。在这些图像处理技术中,它们都涉及对图像中任意区域的操作。因此,找到一种有效的方法来计算任意区域的DCT系数至关重要。为此,我们提出了一种基于网格的方法来找到8 * 8宏块中DCT系数与任意矩形区域之间最合适的关系。实验结果表明,该方法在任意矩形区域中计算DCT系数时,其计算复杂度低于蝶形算法(BA)。

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