Optimization of JPEG color image coding using a human visual system model
Optimization of JPEG color image coding using a human visual system model
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使用人类视觉系统模型优化 JPEG 彩色图像编码
DOI：
10.1117/12.238734
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
J. Biemond
中科院分区：
文献类型：
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作者：
S. Westen;R. Lagendijk;J. Biemond
我们介绍了一种新的模型，可用于标准的彩色图像编码算法（JPEG/MPEG）的感知优化。人类视觉系统模型基于一组定向滤波器，并结合了背景亮度依赖性、亮度和色度频率敏感性以及亮度和色度掩蔽效应。使用基于定向滤波器的模型优化编码算法的主要问题是模型域中滤波器的定向与解码域中DCT块变换的定向之间的差异。我们提出了一个通用的方法来联合收割机这些领域通过计算每个DCT（颜色）块的局部灵敏度。这导致每个块中的每个DCT系数的感知加权因子。我们将展示如何使用这些加权因子，使我们能够使用先进的技术，在JPEG（如自定义量化矩阵设计和自适应阈值）的最佳位分配。与我们提出的模型，它是可以直接在DCT颜色域中计算感知加权均方误差（WMSE），虽然模型本身是基于一个方向频带分解。
We introduce a new model that can be used in the perceptual optimization of standard color image coding algorithms (JPEG/MPEG). The human visual system model is based on a set of oriented filters and incorporates background luminance dependencies, luminance and chrominance frequency sensitivities, and luminance and chrominance masking effects. The main problem in using oriented filter-based models for the optimization of coding algorithms is the difference between the orientation of the filters in the model domain and the DCT block transform in decoding domain. We propose a general method to combine these domains by calculating a local sensitivity for each DCT (color) block. This leads to a perceptual weighting factor for each DCT coefficient in each block. We show how these weighting factors allow us to use advanced techniques for optimal bit allocation in JPEG (e.g. custom quantization matrix design and adaptive thresholding). With the model we propose it is possible to calculate a perceptually weighted mean squared error (WMSE) directly in the DCT color domain, although the model itself is based on a directional frequency band decomposition.
影响因子：
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作者：
LEGGE, GE;FOLEY, JM
通讯作者：
FOLEY, JM