人眼视觉感知驱动的梯度域低照度图像对比度增强
期刊：
计算机辅助设计与图形学学报 ,2014年26(11):1981-1988 ISSN：1003-9775
通讯作者：
Xie, Wei
作者机构：
[张菲菲; 秦前清; 石强] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China;[谢伟] Computer School, Central China Normal University, Wuhan, 430079, China
通讯机构：
Computer School, Central China Normal University, Wuhan, China
关键词：
亮度掩蔽;超阈值对比度;亚阈值;梯度场
摘要：
针对传统的对比度增强方法在对低照度图像进行处理时不能同时顾及压缩动态范围、调整亮度以及增强或保持细节等问题,提出一种基于人眼视觉感知特性的、从全局亮度映射到局部细节补偿的低照度图像对比度增强方法.首先通过非线性全局亮度映射模型压缩图像的动态范围,提高图像的整体亮度水平;然后结合人眼视觉系统的亮度掩蔽特性和超阈值对比度感知特性,非线性地调整图像的局部梯度场增强和恢复图像的局部细节;最后在目标梯度场上通过快速求解泊松方程获取增强后的图像.实验结果表明,该方法能够有效地增强低照度图像的全局和局部对比度,提升了低照度图像的视见度.
语种：
中文
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High dynamic range compression and detail enhancement of infrared images in the gradient domain
作者：
Zhang, Feifei;Xie, Wei
* （ ;Ma, Guorui;Qin, Qianqing
期刊：
Infrared Physics & Technology ,2014年67:441-454 ISSN：1350-4495
作者机构：
[Ma, Guorui; Zhang, Feifei; Qin, Qianqing] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.;[Xie, Wei] Cent China Normal Univ, Comp Sch, Wuhan 430079, Peoples R China.
通讯机构：
[Xie, Wei] C;Cent China Normal Univ, Comp Sch, Wuhan 430079, Peoples R China.
关键词：
Detail enhancement;Dynamic range compression;Gradient domain;Infrared images
摘要：
To find the trade-off between providing an accurate perception of the global scene and improving the visibility of details without excessively distorting radiometric infrared information, a novel gradient-domain-based visualization method for high dynamic range infrared images is proposed in this study. The proposed method adopts an energy function which includes a data constraint term and a gradient constraint term. In the data constraint term, the classical histogram projection method is used to perform the initial dynamic range compression to obtain the desired pixel values and preserve the global contrast. In the gradient constraint term, the moment matching method is adopted to obtain the normalized image; then a gradient gain factor function is designed to adjust the magnitudes of the normalized image gradients and obtain the desired gradient field. Lastly, the low dynamic range image is solved from the proposed energy function. The final image is obtained by linearly mapping the low dynamic range image to the 8-bit display range. The effectiveness and robustness of the proposed method are analyzed using the infrared images obtained from different operating conditions. Compared with other well-established methods, our method shows a significant performance in terms of dynamic range compression, while enhancing the details and avoiding the common artifacts, such as halo, gradient reversal, hazy or saturation. © 2014 Elsevier B.V. All rights reserved.
语种：
英文
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