基于照度划分的多尺度图像增强新算法

吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (02): 494-498.

基于照度划分的多尺度图像增强新算法

李骜, 李一兵, 刘丹丹

哈尔滨工程大学信息与通信工程学院, 哈尔滨 150001

收稿日期:2010-12-21 出版日期:2012-03-01 发布日期:2012-03-01
通讯作者: 李一兵(1967-),男,教授,博士生导师.研究方向:认知无线电,超宽带信号检测与处理,图像处理. E-mail:liyibing@hrbeu.edu.cn E-mail:liyibing@hrbeu.edu.cn
作者简介:李骜(1986-),男,博士研究生.研究方向:图像处理与模式识别.E-mail:dargonboy@126.com
基金资助:
国家自然科学基金项目(50904025); 船舶工业国防科技预研项目(10J3.1.6); 中央高校基本科研业务费专项资金项目(HEUFC100809).

Multi-scale image enhancement algorithm based on illuminance partition

LI Ao, LI Yi-bing, LIU Dan-dan

College of Information and Comunication, Harbin Engineering University, Harbin 150001, China

Received:2010-12-21 Online:2012-03-01 Published:2012-03-01

摘要/Abstract

摘要： 针对数字图像在获取过程中动态范围容易产生线性压缩,导致图像的对比度较低的问题,提出一种照度分割下的多尺度增强算法。根据韦伯定律,将图像分成不同的照度区域分别增强。新算法在区域增强上,提出多尺度下差分图像的自适应权重和来实现,再将不同区域的增强图像线性融合;在尺度的选择上,通过分析尺度在所提方法下对于增强图像的影响特性,对各照度区域选取不同的尺度组合。本文给出了该算法与其他算法的对比效果和评价指标。实验结果表明,该算法在对比度提升的同时,还起到一定的锐化作用,具有良好的增强效果。

关键词: 计算机应用, 照度划分, 多尺度增强, LIP模型, 线性融合

Abstract: In gaining the digital image, its dynamic range often produces linear compression, which leads to low image contrast. To solve this problem, a multi-scale enhancement algorithm based on illuminance partition is proposed. According to the Weber law, the algorithm divides the image into several regions with different illuminances and enhances these regions respectively. The regional enhancement is realized by the adaptive weight sum of differential image with different scales. Then the enhanced images in different regions are linearly fused. For different regions different scale combinations are selected by analyzing the influencing character of different scales on the enhanced image. The proposed algorithm is compared with other algorithms. Results show that this algorithm possesses good enhancement effect, which can improve the image contrast and sharpening.

Key words: computer application, illuminance partition, multi-scale enhancement, LIP model, liner fusio

中图分类号:

TP391.9

李骜, 李一兵, 刘丹丹. 基于照度划分的多尺度图像增强新算法[J]. 吉林大学学报(工学版), 2012, 42(02): 494-498.

LI Ao, LI Yi-bing, LIU Dan-dan. Multi-scale image enhancement algorithm based on illuminance partition[J]. 吉林大学学报(工学版), 2012, 42(02): 494-498.

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