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首页> 外文期刊>IEEE transactions on information forensics and security >Corrections to “JPEG Anti-Forensics With Improved Tradeoff Between Forensic Undetectability and Image Quality”
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Corrections to “JPEG Anti-Forensics With Improved Tradeoff Between Forensic Undetectability and Image Quality”

机译:更正了“ JPEG取证,并在取证无法检测和图像质量之间取得了更好的折衷”

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摘要

In the above paper [1, p. 1215], it was assumed that [1, eq. (8)] was a convex optimization problem. However, C(X) (see [1, eq. (6)]) is in general not convex, since it is an absolute value of the difference between two convex functions. Indeed, the proposed cost function is non-convex. By using the subgradient method with the chosen steps, however, we can get a quite good solution (probably a local minimum) that has a sufficiently low cost function value. This makes the proposed algorithm work sufficiently well, as demonstrated by the experimental results.
机译:在上述论文[1,p。假设[1,eq。1215]。 (8)是一个凸优化问题。但是,由于C(X)是两个凸函数之间的差的绝对值,因此C(X)(参见[1,eq。(6)])通常不是凸的。实际上,建议的成本函数是非凸的。但是,通过在选择的步骤中使用次梯度方法,我们可以获得具有足够低的成本函数值的很好的解决方案(可能是局部最小值)。实验结果表明,这使得所提出的算法能够很好地工作。

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