• Feature vectors are extracted from the re-organized DCT coefficients, and clustered.

    在重组的DCT系数中提取特征向量,并对其进行聚类。

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  • DCT coefficients were quantized through nonlinear scalar quantization and entropy coding.

    变换系数采用非均匀标量量化和熵编码。

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  • So a hybrid video watermarking scheme based on motion vectors and DCT coefficients is proposed.

    提出了一种基于运动矢量域与DCT域的混合视频水印方案。

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  • Based on the distribution of DCT coefficients, a new rate control idea is proposed in this paper.

    在DCT变换系数的分布模型上,本文提出了一种码率控制的新思路。

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  • At the same time, we adjust the DCT coefficients of image's watermark to make them in the same level.

    同时,对水印图像的DCT系数进行调整,使得各频率的能量基本相当,间接地提高了提取的水印图像的信噪比。

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  • The algorithm separates DCT coefficients into three parts: DC coefficients, even and odd indexed DCT coefficients.

    算法将DCT系数分成三部分:DC分量、偶下标分量和奇下标分量。

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  • This paper proposes a adaptive region coding method, which is based on distributing characters of DCT coefficients.

    提出了一种基于DCT系数分布特征的自适应区域编码方法。

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  • A reduced number of DCT coefficients is computed in a subsequent inverse DCT computation based on the DCT block type.

    而根据此离散馀弦转换区块形式则在后续的反向离散馀弦转换运算中运用较少个数之离散馀弦转换系数来做计算。

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  • Proposed that features be extracted from spacial pixel values for BMP image and from DCT coefficients for JPEG images.

    提出,对于BMP图象,直接在象素值上提取特征; 对于JPEG图象,在其DCT系数中提取特征。

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  • The statistical features of the texture images is computed directly from DCT coefficients, and used for image retrieval.

    该方法在DCT压缩域,通过直接对DCT系数计算,获得图像纹理的统计特征,并作为检索的依据。

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  • In this article, a new ECG compression method applying 2-step vector quantization (VQ) on DCT coefficients of ECG data was introduced.

    本研究提出了一种新的心电信号压缩方法,该方法对心电数据进行离散余弦变换(DCT)并对DCT变换的结果进行二级矢量量化。

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  • The DCT coefficients are arranged in a specific way, and then the watermark is embedded based on odd-even difference for optimal embedding.

    提出一种鲁棒的DCT域盲水印算法,将DCT系数进行特殊的自定义排列分组,并根据奇偶差实现水印的最优化嵌入。

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  • A blind hiding information algorithm is proposed, which justifies some DCT coefficients of the original image and inserts the information bits into the image.

    提出了一种盲信息隐藏算法,通过调整DCT系数,将秘密信息嵌入在数字图像中。

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  • The results of the tests show that the generalized Gaussian model is better than the Laplacian model in portraying the distribution of the AC DCT coefficients.

    检验结果表明,广义高斯模型比拉普拉斯模型更准确地反映了DCT交流系数的分布。

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  • The chaotic mapping enables the logo pixels rearrange randomly in the specified spatial domain, and the mixed bits of the logo were embedded in the image DCT coefficients.

    使用混沌映射将二进制商标的像素在空间区域中进行随机置乱,然后将置乱的信息分块嵌入在图像的DCT变换系数中。

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  • In this paper, the fundamental reasons of blocking artifacts are explored, based on which an effective quantization method for DCT coefficients for reducing blocking artifacts is proposed.

    分析产生方块效应的根本原因,在此基础上提出一种有效降低方块效应的DCT系数量化方法。

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  • There is no consensus on the distribution of the AC DCT coefficients till now. In this work, the generalized Gaussian model and the Laplacian model, which are used most widely, were studied.

    针对离散余弦变换(DCT)系数分布模型类型存在的异议,研究并比较了拉普拉斯模型和广义高斯模型。

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  • When extracting the watermark, decode the containing video to get the quantized DCT coefficients, get the watermark by using LSB, and RS decoded to get the same sequence as the embedded bit sequence.

    提取时对含有水印的视频进行解码,得到量化后的DCT系数,进行LSB提取,RS解码后得到与嵌入序列完全相同的比特序列。

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  • When extracting the watermark, decode the containing video to get the quantized DCT coefficients, get the watermark by using LSB, and RS decoded to get the same sequence as the embedded bit sequence.

    提取时对含有水印的视频进行解码,得到量化后的DCT系数,进行LSB提取,RS解码后得到与嵌入序列完全相同的比特序列。

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