Please wait a minute...
浙江大学学报(工学版)
计算机技术﹑电信技术     
基于曝光适度评价的多曝光图像融合方法
江燊煜,陈阔,徐之海,冯华君,李奇,陈跃庭
浙江大学 现代光学仪器国家重点实验室,浙江 杭州 310027
Multi-exposure image fusion based on well-exposedness assessment
JIANG Shen-yu, CHEN Kuo, XU Zhi-hai, FENG Hua-jun, LI Qi, CHEN Yue-ting
State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China
 全文: PDF(2448 KB)   HTML
摘要:

针对数字相机在拍摄宽亮度范围场景时动态范围不足的问题,提出一种高效的多曝光图像融合方法.该方法通过场景的多次采样曝光,分析不同像素的亮暗变化,利用高斯数学模型计算评价数值.将结合图像亮度信息的曝光适度评价方法应用于图像分块区域,并计算每个像素的权重值,消除图像块效应.将不同曝光度下成像的图像序列融合为一幅局部自适应曝光的高动态范围(HDR)图像,实现动态范围扩展.与另外3种方法进行对比分析,结果表明:该方法简便有效,细节纹理与颜色信息具有更强的表现能力,且熵值更高.

Abstract:

Aiming at the problem that digital camera is insufficient in dynamic range when taking pictures of wide dynamic range scenes, a spatial-domain fusion method for multi-exposure images was proposed.  Scenes were sampled and exposed repeatedly, and brightness changes of different pixels of the images were analyzed.Then,  assessment value was calculated using the Gauss model. The well-exposedness assessment method was applied to sub-areas of the images. Weighted value of each pixel was calculated to eliminate the images block effect. Image sequences that imaged under different exposures were fused into high dynamic range (HDR) images with local adaptive exposure, which extended the dynamic range. Compared with other methods, the proposed method is simple and effective, producing results with better performance in scene details and color information, and even with higher entropy.

出版日期: 2015-08-28
:  TN 911  
基金资助:

国家自然科学基金资助项目(61107009)

通讯作者: 陈跃庭,男,助理研究员     E-mail: chenyt@zju.edu.cn
作者简介: 江燊煜(1990-),男,硕士生,从事光学图像处理研究.E-mail:lejiang0110@sina.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

江燊煜,陈阔,徐之海,冯华君,李奇,陈跃庭. 基于曝光适度评价的多曝光图像融合方法[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2015.03.011.

JIANG Shen-yu, CHEN Kuo, XU Zhi-hai, FENG Hua-jun, LI Qi, CHEN Yue-ting. Multi-exposure image fusion based on well-exposedness assessment. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2015.03.011.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2015.03.011        http://www.zjujournals.com/eng/CN/Y2015/V49/I3/470

[1] MANN S, PICARD R W. On being‘undigital’ with digital cameras: extending dynamic range by combining differently exposed pictures [C] ∥ Proceedings of IS&T 46th Annual Conference. Cambridge: Massachusetts, 1995: 422-428.
[2] FATTAL R, LISCHINSKI D, WERMAN M. Gradient domain high dynamic range compression [C] ∥ Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques. New York: ACM, 2002: 249-256.
[3] DURAND F, DORSEY J. Fast bilateral filtering for the display of high-dynamic-range images [C] ∥ Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques. New York: ACM, 2002: 257-266.
[4] MANTIUK R, DALY S, KEROFSKY L. Display adaptive tone mapping [J]. ACM Transactions on Graphics, 2008, 27(3):68.
[5] GROSSBERG M D, NAYAR S K. Determining the camera response from images: What is knowable? [C] ∥ Transactions on Pattern Analysis and Machine.New York:IEEE,2003:1455-1467.
[6] GREG W. Fast, robust image registration for compositing high dynamic range photographs from hand-held exposures [J]. Journal of Graphics Tools, 2003, 8(2): 17-30.
[7] GALLO O, GELFAND N, CHEN W C, et al. Artifact-free high dynamic range imaging [C] ∥ International Conference on Computational Photography. San Francisco: IEEE, 2009: 17.
[8] 张军,戴霞,孙德全,等.不同曝光值图像的直接融合方法[J].软件学报, 2011, 22(4): 813-825.
ZHANG Jun, DAI Xia, SUN De-quan, et al. Directly fusion method for combining variable exposure value images [J]. Journal of Software, 2011, 22(4): 813-825.
[9] GOSHTASBY A A. Fusion of multi-exposure images\[J\]. Image and Vision Computing, 2005, 23(6): 611-618.
[10] MERTENS T, KAUTZ J, REETH F V. Exposure fusion: A simple and practical alternative to high dynamic range photography [J]. Computer Graphics Forum, 2009, 28(1): 161-171.
[11] VANMALI A V, DESHMUKH S S, GADRE V M. Low complexity detail preserving multi-exposure image fusion for images with balanced exposure [C] ∥ National Conference on Communications. New Delhi: IEEE, 2013: 15.
[12] 赵颖. 基于子带结构和梯度的多曝光图像融合技术研究[D]. 北京: 北京理工大学, 2011: 14-32.
ZHAO Ying. Subband architecture and gradient based multi-exposure fusion [D]. Beijing: Beijing Institute of Technology, 2011: 14-32.
[13] SHEN J B, ZHAO Y, HE Y. Detail-preserving exposure fusion using subband architecture [J]. The Visual Computer, 2012, 28(5):463-473.
[14] DEBEVEC P E, JITENDRA M. Recovering high dynamic range radiance maps from photographs [C] ∥ Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques. New York: ACM, 1997.
\[15\] MALIK M H, GILANI S A M,HAQ A.Wavelet based exposure fusion\[C\]∥Proceedings of the World Congress on Engineering.Lodon:WCE,2008:688-693.

[1] 吴晨曦, 张旻, 王可人. 基于二级嵌套阵列的宽频段欠定波达方向估计[J]. 浙江大学学报(工学版), 2017, 51(5): 1016-1023.
[2] 谢罗峰, 徐慧宁, 黄沁元, 赵越, 殷国富. 应用双树复小波包和NCA-LSSVM检测磁瓦内部缺陷[J]. 浙江大学学报(工学版), 2017, 51(1): 184-191.
[3] 王志, 朱世强, 卜琰, 郭振民. 改进导向滤波器立体匹配算法[J]. 浙江大学学报(工学版), 2016, 50(12): 2262-2269.
[4] 于慧敏, 曾雄. 结合排序向量SVM的视频跟踪[J]. 浙江大学学报(工学版), 2015, 49(6): 1015-1021.
[5] 陈阔, 冯华君, 徐之海, 李奇, 陈跃庭. 细节保持的快速曝光融合[J]. 浙江大学学报(工学版), 2015, 49(6): 1048-1054.
[6] 朱株,刘济林. 基于马尔科夫随机场的三维激光雷达路面实时分割[J]. 浙江大学学报(工学版), 2015, 49(3): 464-469.
[7] 李江,赵雅琼,包晔华. 基于混沌和替代数据法的中风病人声音分析[J]. 浙江大学学报(工学版), 2015, 49(1): 36-41.
[8] 童基均, 张光磊, 蔡强, 简锦明,郭希山. 阈值随机共振及其在低质量浓度气体检测中的应用[J]. 浙江大学学报(工学版), 2015, 49(1): 15-19.
[9] 潘能杰,于慧敏. 边缘加强型的彩色空间最稳极值区域[J]. 浙江大学学报(工学版), 2014, 48(7): 1241-1247.
[10] 吴鹏洲,于慧敏,曾雄. 基于正则化风险最小化的目标计数[J]. 浙江大学学报(工学版), 2014, 48(7): 1226-1233.
[11] 岳克强, 孙玲玲, 游彬, 楼立恒. 基于欠定盲分离的并行识别防碰撞算法[J]. 浙江大学学报(工学版), 2014, 48(5): 865-870.
[12] 项楠, 赵航芳, 宫先仪. 非寻复域状态-空间滤波[J]. J4, 2014, 48(4): 727-733.
[13] 杨力, 朱株, 刘济林. 一种嵌入式汽车鸟瞰全景图拼接算法[J]. J4, 2014, 48(2): 292-296.
[14] 刘凤霞, 潘翔, 宫先仪. 螺旋线阵匹配场三维定位[J]. J4, 2013, 47(1): 62-69.
[15] 刘志坤, 刘忠, 付学志, 宁小玲. 改进的变步长自适应滤波及Eckart加权抑噪算法[J]. J4, 2012, 46(6): 1014-1020.