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A novel enhancement method for low illumination images based on microarray camera
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作者 ZOU Jian-cheng ZHENG Wen-qi YANG Zhi-hui 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2017年第3期313-322,共10页
It is difficult but important to get clear information from the low illumination images. In recent years the research of the low illumination image enhancement has become a hot topic in image processing and computer v... It is difficult but important to get clear information from the low illumination images. In recent years the research of the low illumination image enhancement has become a hot topic in image processing and computer vision. The Retinex algorithm is one of the most popular methods in the field and uniform illumination is necessary to enhance low illumination image quality by using this algorithm. However, for the different areas of an image with contrast brightness differences, the illumination image is not smooth and causes halo artifacts so that it cannot retain the detail information of the original images. To solve the problem, we generalize the multi-scale Retinex algorithm and propose a new enhancement method for the low illumination images based on the microarray camera. The proposed method can well make up for the deficiency of imbalanced illumination and significantly inhibit the halo artifacts as well. Experimental results show that the proposed method can get better image enhancement effect compared to the multi-scale Retinex algorithm of a single image enhancement. Advantages of the method also include that it can significantly inhibit the halo artifacts and thus retain the details of the original images, it can improve the brightness and contrast of the image as well. The newly developed method in this paper has application potential to the images captured by pad and cell phone in the low illumination environment. 展开更多
关键词 low illumination microarray camera multi-scale retinex image sharpening
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基于自由空间中光信息传输模型改善图像质量 被引量:1
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作者 江兴方 陆佳丽 +1 位作者 沈为民 陶纯堪 《中国激光》 EI CAS CSCD 北大核心 2009年第4期923-927,共5页
在云雾天气条件下,造成图像质量的下降,其本质就是场景与观察点之间大气对光的散射。针对不良天气条件下拍摄的图像,又没有精确的天气条件和景物的深度信息,为了对一幅退化图像去除不良天气的影响实现图像复原的目的.分析了大气散射机理... 在云雾天气条件下,造成图像质量的下降,其本质就是场景与观察点之间大气对光的散射。针对不良天气条件下拍摄的图像,又没有精确的天气条件和景物的深度信息,为了对一幅退化图像去除不良天气的影响实现图像复原的目的.分析了大气散射机理,引入了衰减模型和大气光模型以及光在粒子各个方向上的散射分布函数,推导了大气光对图像亮度影响的表示式。基于衰减模型和大气光模型,考虑景物的深度,采取先将原图像取反色,然后采用改进型多尺度Retinex算法增强暗区域图像,再取反色可以获得去除云噪声的图像,为了使景物信息最小限度地丢失,采用了图像信息熵判据,结果表明对于彩色遥感图像运用这一改进型多尺度Retinex算法去除云噪声是有效的。对于一幅带有厚云的彩色遥感图像在实施去除云噪声过程中,发现以亮度平均值附近1.5±0.1倍标准差截取后进行拉伸.得到的图像信息熵为最大,去除云噪声综合效果最好。 展开更多
关键词 图像处理 改进型多尺度retinex 衰减模型 大气光模型 去云雾 信息熵
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Innovative technologies in manufacturing,mechanics and smart civil infrastructure
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作者 Ken P.Chong Songye Zhu 《International Journal of Smart and Nano Materials》 SCIE EI 2018年第4期261-278,I0003,共19页
An overview on converging technologies that are the primary drivers of the 4th Industrial Revolution is presented,followed by new developments in advanced manufacturing,nano-,information-technologies and smart civil i... An overview on converging technologies that are the primary drivers of the 4th Industrial Revolution is presented,followed by new developments in advanced manufacturing,nano-,information-technologies and smart civil infrastructure technologies.Convergence of these transformative technologies is discussed.Emphases are on advanced manufacturing,nano mechanics/materials,sensors,structural control,smart structures/materials,energy harvesting,multi-scale problems and simulation methods. 展开更多
关键词 NANO-MATERIALS smart structures energy harvesting advanced manufacturing simulation and multi-scale problems
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