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基于Gabor小波的渐进式着色算法
引用本文:陈顺斌.基于Gabor小波的渐进式着色算法[J].计算机工程与设计,2010,31(6).
作者姓名:陈顺斌
作者单位:中国科学院软件研究所,计算机科学国家重点实验室,北京,100190;中国科学院研究生院,北京,100049
基金项目:国家自然科学基金项目 
摘    要:为了解决黑白图像自动染色的难题,提出了一种基于Gabor小波的渐进式着色算法.该算法首先使用Gabor小波对黑白图像的纹理特征进行分析,在此基础上,根据纹理特征差异重新定义像素的邻居关系,最后利用最优化方法对染色问题进行迭代求解.该算法主要的创新点是交互操作少,并允许用户逐步添加色彩细节.同时该算法还是天然并行的,能够利用图形处理器(GPU)进行实时计算.为该算法和当今流行的着色算法做了效果对比,并且进行了效率分析,实验结果表明了该算法的可用性和效率.

关 键 词:着色  Gabor小波  最优化  并行

Progressive colorization based on Gabor wavelet
CHEN Shun-bin.Progressive colorization based on Gabor wavelet[J].Computer Engineering and Design,2010,31(6).
Authors:CHEN Shun-bin
Affiliation:CHEN Shun-bin1,2(1.State Key Laboratory of Computer Science,Institute of Software,Chinese Academy of Science,Beijing 100190,China,2.Graduate University,Beijing 100049,China)
Abstract:To solve the problem of automatically colorizing gray images, a novel progressive method based on Gabor wavelets is presented.First the texture features of the image is analyzed by Gabor wavelet.Then the neighboring relationships are redefined according to the differences among texture features.Finally, the colorization problem is solved iteratively with an optimization method.The main contribution of this method is that only very few interactive operations are required and users are allowed to add the deta...
Keywords:GPU  colorization  Gaborwavelet  optimization method  parallel  GPU
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