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LIP多重微区域分解算法扩展数字图像动态范围
引用本文:何烽,徐之海,冯华君. LIP多重微区域分解算法扩展数字图像动态范围[J]. 光电工程, 2004, 31(6): 66-69
作者姓名:何烽  徐之海  冯华君
作者单位:浙江大学光学仪器国家重点实验室,浙江,杭州,310027;浙江大学光学仪器国家重点实验室,浙江,杭州,310027;浙江大学光学仪器国家重点实验室,浙江,杭州,310027
摘    要:CCD/CMOS 图像传感器的饱和电流和背景噪音使得一次曝光很难超过 60-80dB 的动态范围。用 LIP(Logarithmic image processing)模式将图像转换为灰色调函数,再将基于 LIP 模式的非线性多重微区域图像分解算法进行改进,可以适应不同亮度的单幅图像处理,提高了可分辨信息量和图像对比度,同时抑止了噪声。质量评价显示,该算法能将 MOS 等级四的源图像提高到等级一。

关 键 词:对数图像处理  图像分解  动态范围  数字图像
文章编号:1003-501X(2004)06-0066-04
收稿时间:2003-11-21
修稿时间:2003-11-21

Extending dynamic range of digital image by multiscale micro-region decomposition algorithm with logarithmic image processing
HE Feng,XU Zhi-hai,FENG Hua-jun. Extending dynamic range of digital image by multiscale micro-region decomposition algorithm with logarithmic image processing[J]. Opto-Electronic Engineering, 2004, 31(6): 66-69
Authors:HE Feng  XU Zhi-hai  FENG Hua-jun
Abstract:Saturation current and background noise of CCD/CMOS image sensor make it difficult for a single exposure to achieve dynamic range over from 60 to 80dB. Image is converted into different level of luminance with logarithmic image processing mode and the nonlinear multiscale micro-region image decomposition algorithm based on logarithmic image processing be improved, thus it is suitable to process single frame image with processing. This method can resolve information and enhance image contrast, as well as inhibit noise. The quality evaluation shows that the algorithm can upgrade MOS source image of class 4 to class 1.
Keywords:Logarithmic image processing  Image dissection  Dynamic range  Digital image
本文献已被 CNKI 维普 万方数据 等数据库收录!
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