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直方图均衡能有效地对数字图像进行增强处理,其主要缺点是处理后的数字图像大量损失灰度层次,且增强力度不够.提出了在子块部分重叠直方图均衡的基础上,引入保留灰度级直方图均衡 理的方法,使得处理后 的图像对比度得到较大的增强,又不损失灰 度级,且相邻像素间灰度过渡平 ,图像柔和、真实.针对处理后方块效应严 重的图像,依据人眼的视觉特性和数字图像数据的特,提出了自适应行列分比例方法来有效消除块效应.-Histogram equalization can effectively enhance the d
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A simple algorithm for removing blocking artifacts
In block transform coded images
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一种适用于图像的压缩感知采样策略和重建算法,采样策略是基于块的图像稀疏采样矩阵,重建算法为smoothed projected Landweber(SPL)迭代算法。-BCS-SPL combines block-based compressed-sensing sampling (BCS) of an image with a smoothed projected-Landweber (SPL) iterative reconstruction. Sampling is driven by r
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One of the major drawbacks of the block-based DCT compression methods is that they may result in visible artifacts at block boundaries due to coarse quantization of the coefficients. -Simulation results show that the proposed algorithm significantly
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Blocking artifacts continue to be among the most serious defects that occur in images and video streams compressed to low bit rates using block discrete cosine transform (DCT)-based compression standards (e.g., JPEG, MPEG, and H.263)
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BCS-SPL将图像的基于块的压缩感测采样(BCS)与平滑的投影Landweber(SPL)迭代重建相结合。采样是通过逐块应用随机矩阵来驱动的,而重建则是预期的Landweber(PL)重建(也称为迭代硬阈值(IHT))的变体,其结合平滑操作(维纳滤波)减少块效应。实质上,除了PL所固有的稀疏性之外,这种滤波操作还能提供平滑性。(BCS-SPL combines block-based compressed-sensing sampling (BCS) of an image with a sm
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