计算机技术与发展Issue(1)：95-98,4.DOI:10.3969/j.issn.1673-629X.2013.01.024
基于金字塔变换的多曝光图像融合
Multi-exposure Image Fusion Based on Pyramid Transformation
摘要
Abstract
The images which obtained in the same scene under different light are often over exposed and underexposed. These image have low quality. Lots of important information is loss. To solve these problems,the Laplacian pyramid and gradient pyramid transformation are analyzed. The latter increases the information of image direction. In the process of image fusion,using the block method,it is first to gen-erate the weight diagram of the original multi-exposure images. Then generate a high dynamic range images based on Laplacian pyramid weighted average of the weight figure. The experimental results show that the algorithm can obtain high-contrast fusion image with more useful information. The algorithm works well and has good practical value to some extent.关键词
图像融合/多曝光图像/梯度金字塔/权重图Key words
image fusion/multi-exposure image/pyramid transform/weight figure分类
信息技术与安全科学引用本文复制引用
江铁,朱桂斌,孙奥..基于金字塔变换的多曝光图像融合[J].计算机技术与发展,2013,(1):95-98,4.基金项目
重庆市科技攻关项目(CSTC,2010AC2037) （CSTC,2010AC2037）
