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A novel image enhancement technique based on statistical analysis of DCT coefficients for JPEG compressed images

机译:基于DCT系数的JPEG压缩图像统计分析的新型图像增强技术

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This paper investigates a novel image enhancement technique based on statistical analysis of DCT coefficients. The proposed method treats the DC coefficient and AC coefficients of a DCT block separately to arrive at two different scaling factors. Since the DC coefficient of a block being an average value concerns with illumination of the image, the coefficient of variation (cv) is estimated which is used as the DC scaling factor. On the other hand, since the AC coefficients concern with the local contrast, these are analyzed diagonally forming bands followed by calculating entropy and contrast which are utilized to arrive at the AC scaling factor. The two scaling factors are used to compute the enhanced DCT block and the corresponding enhanced image. Our experimental results show that such statistical analysis is able to capture the behaviour of the DCT coefficients which is exploited to arrive at the scaling factors thereby making the proposed method independent of predefined enhancement functions like twicing function, S-function currently utilized by state-of-the-art methods. Extensive testing and comparative analysis of the proposed method clearly shows better results in comparison to an existing technique.
机译:本文研究了一种基于DCT系数统计分析的新型图像增强技术。所提出的方法分别处理DCT块的DC系数和AC系数以得到两个不同的缩放因子。由于块的DC系数是平均值,因此与图像的照度有关,因此估计出变化系数(cv),其被用作DC缩放因子。另一方面,由于AC系数与局部对比度有关,因此对角线形成的带进行分析,然后计算熵和对比度,以得出AC比例系数。这两个缩放因子用于计算增强的DCT块和相应的增强图像。我们的实验结果表明,这种统计分析能够捕获DCT系数的行为,并利用该DCT系数得出比例因子,从而使所提出的方法独立于预定义的增强函数,例如旋转函数,状态函数当前使用的S函数。最先进的方法。与现有技术相比,该方法的大量测试和比较分析清楚地显示了更好的结果。

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