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Received:December 13, 2019 Revised:January 08, 2020
Received:December 13, 2019 Revised:January 08, 2020
中文摘要: 借鉴量子衍生方法,将归一化图像表示为量子比特形式,利用图像像素点与其邻域像素点灰度相关性强的特点,提出了一种基于量子衍生方法的空域滤波图像增强算法,并选择3×3和5×5两种大小的空域滤波模板,进行了算法的仿真和比较.最后,引入客观评价指标图像的熵,对算法的图像增强效果进行评价.结果表明,从主观视觉和客观评价指标两方面,该算法的图像增强效果都优于传统图像增强算法.针对能见度和对比度较低的图像,相比3×3大小的空域滤波模板,5×5大小的空域滤波模板时,算法的图像增强效果更佳,图像的熵更大.
Abstract:Using the idea of quantum-inspired method, the normalized image pixels are represented in the form of quantum bits, taking full advantage of the strong correlation between a pixel and other pixels in its neighboring field, a spatial filtering image enhancement algorithm based on the quantum-inspired method is proposed, and the algorithm is simulated and compared for two spatial filtering templates: 3×3 and 5×5. Finally, image entropy is introduced to evaluate the image enhancement effect of the algorithm. In terms of the subjective vision and the objective evaluation index, the results show that the algorithm is superior to the traditional image enhancement algorithm. For the images with low visibility and contrast, compared with the size of 3×3 spatial filtering template, when the size of spatial filtering template is 5×5, the effect of the algorithm is better and the entropy of the corresponding result image is larger.
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基金项目:江苏省自然科学基金(BK20151464);江苏省属高校自然科学研究项目(15KJB510004);江苏开放大学(江苏城市职业学院)“十三五”科研规划课题(16SSW-Y-007)
Author Name | Affiliation | |
GOU Rong | School of Information Mechanical and Electrical Engineering, Jiangsu Open University, Nanjing 210019, China | frzn_920@163.com |
Author Name | Affiliation | |
GOU Rong | School of Information Mechanical and Electrical Engineering, Jiangsu Open University, Nanjing 210019, China | frzn_920@163.com |
引用文本:
勾荣.基于量子衍生方法的空域滤波图像增强算法.计算机系统应用,2020,29(10):179-184
GOU Rong.Image Enhancement Algorithm of Spatial Filtering Based on Quantum-Inspired Method.COMPUTER SYSTEMS APPLICATIONS,2020,29(10):179-184
勾荣.基于量子衍生方法的空域滤波图像增强算法.计算机系统应用,2020,29(10):179-184
GOU Rong.Image Enhancement Algorithm of Spatial Filtering Based on Quantum-Inspired Method.COMPUTER SYSTEMS APPLICATIONS,2020,29(10):179-184