基于人眼亮度阈值特性的图像增强算法
Human vision system brightness threshold based image enhancement method
查看参考文献14篇
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文摘
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结合人眼视觉特性,提出一种面向人眼视觉的图像增强算法。在保持原图像所有像素灰度大小关系不发生倒序的前提下,以人眼可分辨的像素对数作为目标函数。为使目标函数实现最大化,首先根据人眼亮度阈值特性测试指定显示器的人眼最多可分辨的灰度级数;然后结合图像本身的灰度级数与人眼最多可分辨的灰度级数使用一种动态规划灰度级合并算法,使得灰度合并后图像中包含的灰度级数不多于人眼最多可分辨灰度级数;最后对合并后的灰度按人眼视觉亮度阈值特性做一一映射。本文算法充分考虑了图像观测过程中人眼感知与显示器显示亮度,具有明确的目标函数,图像增强效果优于目前常用算法。 |
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其他语种文摘
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Combined with the human visual characteristics, we propose an image enhancement algorithm for the human eye.Objective function of the proposed algorithm is pixel pairs′number, of which the gray-scale difference can be perceived by human eye.In order to keep the fidelity of image information, the enhancement process should be under the condition of maintaining the gray scale difference direction of the original image pixels.To maximize the objective function, the first step is to test the human eye maximum distinguishable gray levels towards specified monitor.The test should consider human eye brightness threshold characteristics.Combined with the gray levels of the image itself and the maximum gray levels human eye can distinguish, we use a dynamic programming algorithm to compress gray levels, so that the gray levels contained in the merged image would not be more than the maximum gray levels human eye can distinguish.Finally, the grays implement one to one mapping based on human visual brightness threshold characteristics.Compared with the novel image enhancement algorithms, the proposed algorithm is fully considering the interaction of human eye and the monitor brightness.Further more, the proposed algorithm has a clear objective function.Experimental results show that the proposed algorithm has better performance than the currently used image enhancement algorithms. |
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来源
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光电子·激光
,2014,25(8):1606-1612 【核心库】
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关键词
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图像增强
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目标函数
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人眼亮度阈值
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恰可见偏差(JND)
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最多可分辨灰度级数
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地址
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中国科学院沈阳自动化研究所, 中国科学院光电信息处理重点实验室;;辽宁省图像理解与视觉计算重点实验室, 辽宁, 沈阳, 110016
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1005-0086 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金项目
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文献收藏号
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CSCD:5255311
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参考文献 共
14
共1页
|
|
1.
Vickers Virgil E. Plateau equalization algorithm for realtime display of high-quality infrared imagery.
Optical engineering,1996,35(7):1921-1926
|
被引
32
次
|
|
|
|
|
2.
Pizer S M. Contrast-limited adaptive histogram equalization:speed and effectiveness.
Proc.of the First Conference on Visualization in Biomedical Computing,1990:337-345
|
被引
2
次
|
|
|
|
|
3.
Zimmerman J B. An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement.
IEEE Transactions on Medical Imaging,1988,7(4):304-312
|
被引
15
次
|
|
|
|
|
4.
Land Eh. Recent advances in retinex theory and some implications for cortical computations:color vision and the natural image.
Proc Natl Acad Sci USA,1983,80(16):5163-5169
|
被引
50
次
|
|
|
|
|
5.
Jobson D J. Properties and performance of a center/surround retinex.
IEEE Transactions on Image Processing,1997,6(3):451,462
|
被引
310
次
|
|
|
|
|
6.
Rahman Z. Multiscale retinex for color image enhancement.
Proc.of International Conference on Image Processing. 3,1996:1003-1006
|
被引
1
次
|
|
|
|
|
7.
Tumblin Jack. LCIS:a boundary hierarchy for detail-preserving contrast reduction.
Proc.of the 26th Annual conference on Computer Graphics and Interactive Techniques,1999:83-90
|
被引
1
次
|
|
|
|
|
8.
Tumblin Jack. Two methods for display of high contrast images.
ACM Transactions on Graphics(TOG),1999,18(1):56-94
|
被引
11
次
|
|
|
|
|
9.
王炳健. 基于平台直方图的红外图像自适应增强算法.
光子学报,2005,34(2):299-301
|
被引
45
次
|
|
|
|
|
10.
宋岩峰. 基于双平台直方图的红外图像增强算法.
红外与激光工程,2008,37(2):308-311
|
被引
29
次
|
|
|
|
|
11.
Barten P.
Contrast sensitivity of the human eye and its effects on image quality,1999
|
被引
1
次
|
|
|
|
|
12.
Jayant N. Signal compression:technology targets and research directions.
IEEE Journal on Selected Areas in Communications,1992,10(5):796-818
|
被引
6
次
|
|
|
|
|
13.
刘勋. 面向人眼视觉的图像增强方法.
计算机工程,2012,38(2):234-236
|
被引
4
次
|
|
|
|
|
14.
Pizer S M. Contrast-limited adaptive histogram equalization:speed and effectiveness.
Proc.of the First Conference on Visualization in Biomedical Computing,1990:337-345
|
被引
2
次
|
|
|
|
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