| 基于非锐化掩模与Beta变换的图像增强研究 |
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| 引用本文： | 王仕女,孙文胜.基于非锐化掩模与Beta变换的图像增强研究[J].教育技术导刊,2019,18(9):207-210. |
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| 作者姓名： | 王仕女 孙文胜 |
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| 作者单位： | 杭州电子科技大学 通信工程学院，浙江 杭州 310018 |
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| 摘 要： | 针对现有对比度变换图像增强方法细节处理不足，经典穷举法和各种生物智能优化算法求取非完全Beta函数参数存在算法效率不高、易陷入局部最优的缺陷，提出一种利用非锐化掩膜局部细节提升能力和Beta变换全局对比度拉伸能力，简便快速且细节丰富的图像增强方法。使用不同灰度分布图进行仿真实验，结果表明该算法得到的增强图像直方图分布均匀、细节丰富且过渡自然平缓，算法效率高。
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| 关 键 词： | 图像增强 非锐化掩模 双边滤波 非完全Beta函数 细节融合 |
| 收稿时间： | 2018-10-27 |
Image Enhancement Based on Unsharp Mask and Beta Transform |
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| WANG Shi-nv,SUN Wen-sheng.Image Enhancement Based on Unsharp Mask and Beta Transform[J].Introduction of Educational Technology,2019,18(9):207-210. |
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| Authors: | WANG Shi-nv SUN Wen-sheng |
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| Institution: | Communication Engineering College， Hangzhou Dianzi University， Hangzhou 310018， China |
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| Abstract: | Aiming at the shortcomings of the existing contrast-converted image enhancement method in detail processing， the insufficiency of the algorithm for solving the incomplete Beta function parameters for the classical exhaustive method and various bio-intelligence optimization algorithms is easy and the strong tendency to fall into the local optimum， a simple， fast and detailed image enhancement method using the unsharp mask local detail lifting ability and the Beta transform global contrast stretching ability is proposed. Simulation experiments using different grayscale maps show that the proposed algorithm has high efficiency， and the obtained enhanced histograms are evenly distributed， with rich details and smooth transition. |
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| Keywords: | image enhancement unsharp mask bilateral filtering incomplete Beta function detail fusion |
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