本文關(guān)鍵詞： 圖像增強(qiáng) 光照不均勻校正 二維伽馬函數(shù) 快速引導(dǎo)濾波　出處：《系統(tǒng)工程與電子技術(shù)》2017年06期 　論文類型：期刊論文

【摘要】：為了提高光照不均勻條件下采集的圖像的視覺效果,提出了一種基于改進(jìn)二維伽馬函數(shù)自適應(yīng)亮度校正算法。首先基于光照反射成像模型,利用快速引導(dǎo)濾波算法提取出光照信息;然后構(gòu)造了一種改進(jìn)的二維伽馬函數(shù),并利用光照的分布特性動(dòng)態(tài)地調(diào)整二維伽馬函數(shù)的參數(shù),實(shí)現(xiàn)對(duì)圖像亮度的自適應(yīng)校正處理,提高光照過暗區(qū)域圖像的亮度值,降低光照過強(qiáng)區(qū)域圖像的亮度值,得到增強(qiáng)后的圖像。對(duì)多種場(chǎng)景圖像的處理結(jié)果表明,本文算法可以有效地降低不均勻光照的影響,提高圖像的質(zhì)量。
[Abstract]:In order to improve the visual effect of images collected under uneven illumination, an adaptive brightness correction algorithm based on improved two-dimensional gamma function is proposed. The illumination information is extracted by the fast guided filter algorithm. Then an improved two-dimensional gamma function is constructed, and the parameters of the two-dimensional gamma function are dynamically adjusted by the light distribution characteristics to realize the adaptive correction of the image brightness. The enhancement image is obtained by increasing the brightness value of the image in the over-dark region and reducing the brightness value of the image in the over-illuminated region. The processing results of various scene images show that. The algorithm can effectively reduce the influence of uneven illumination and improve the image quality.
【作者單位】： 西安郵電大學(xué)通信與信息工程學(xué)院;電子信息現(xiàn)場(chǎng)勘查應(yīng)用技術(shù)公安部重點(diǎn)實(shí)驗(yàn)室;(英國)哈德斯菲爾德大學(xué)計(jì)算機(jī)與工程學(xué)院;
【基金】：國家自然科學(xué)基金(61202183) 公安部科技強(qiáng)警基礎(chǔ)工作專項(xiàng)項(xiàng)目(2014GABJC024) 陜西省自然科學(xué)基金(2015JM6350) 陜西省教育廳專項(xiàng)科研計(jì)劃(14JK1680)資助課題
【分類號(hào)】：TP391.41
【正文快照】： 網(wǎng)絡(luò)優(yōu)先出版地址:http:∥www.cnki.net/kcms/detail/11.2422.TN.20170224.1150.004.html實(shí)驗(yàn)室,陜西西安710121;3.(英國)哈德斯菲爾德大學(xué)計(jì)算機(jī)與工程學(xué)院,Huddersfield HD1 3DH,UK)0引言在實(shí)際的圖像采集過程中,經(jīng)常會(huì)受到光照變化、陰影以及物體表面反射特性差異等因素的，

本文編號(hào)：1449753