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Grid Based Method for Computing DCT Coefficients in Arbitrary Rectangle Region

机译:基于网格基于任意矩形区域的DCT系数的方法

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摘要

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,几乎所有数字图像都被传送到用于存储和通信原因的压缩格式,其中基于离散的余弦变换(DCT)的压缩方法仍然是由于JPEG的努力,因此基于离散的余弦变换(DCT)的压缩方法仍然是图像压缩的有效和重要方式。 它相当可引入图像处理技术,例如特征提取,图案识别和图像索引到压缩图像域。 在这些图像处理技术中,它们都涉及图像中的任意区域的操作。 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宏块和任意矩形区域中DCT系数之间最合适的关系。 实验结果表明,当计算任意矩形区域中的DCT系数时,所提出的方法具有比蝶形算法(BA)更低的计算复杂性。

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