| 引用本文: | 姚伟,孙即祥.基于局部特征及最佳量化的Quantum TV算法.[J].国防科技大学学报,2010,32(3):94-98.[点击复制] |
| YAO Wei,SUN Jixiang.Quantum TV Algorithm Based on Local Characteristics and Optimum Quantization[J].Journal of National University of Defense Technology,2010,32(3):94-98[点击复制] |
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| 基于局部特征及最佳量化的Quantum TV算法 |
| 姚伟, 孙即祥 |
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(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
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| 摘要: |
| 量化TV算法是一种量化的全变差正则化算法，滤波后的图像取值为一定数量的量化数值，其主要应用为二值图像恢复、图像量化及图像分割等。图像的不同部分灰度变化程度不同，需要不同的量化等级数；不同的直方图分布下，根据不同的原则，存在不同的量化等级。根据上述原则对量化TV算法进行了改进，实验结果说明了改进算法更适用于图像量化 |
| 关键词: 量化全变差 局部特征检测 最佳量化 |
| DOI： |
| 投稿日期：2009-09-02 |
| 基金项目: |
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| Quantum TV Algorithm Based on Local Characteristics and Optimum Quantization |
| YAO Wei, SUN Jixiang |
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(College of Electronic Science and Engineering, National Univ. of Defense Technology，Changsha 410073，China)
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| Abstract: |
| Quantum TV algorithm, the result of which only takes values from a finite discrete set(the quanta set), is a kind of quantized TV regularized algorithm. It can find applications mainly in binary image restoration, image quantization and image segmentation. Different part of an image varies differently, thus it needs varied number of quantized levels. Different image histogram also corresponds to different quantized levels. We made improvements to the quantum TV algorithm according to the above statements. Experiments and related data demonstrated that the improved algorithm showed better appliance in image quantization. |
| Keywords: quantum TV local characteristics detection optimum quantization |
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