CAJ | 학술논문

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.
위료해결흑백도상자동염색적난제,제출료일충기우Gabor소파적점진식착색산법.해산법수선사용Gabor소파대흑백도상적문리특정진행분석,재차기출상,근거문리특정차이중신정의상소적린거관계,최후이용최우화방법대염색문제진행질대구해.해산법주요적창신점시교호조작소,병윤허용호축보첨가색채세절.동시해산법환시천연병행적,능구이용도형처리기(GPU)진행실시계산.위해산법화당금류행적착색산법주료효과대비,병차진행료효솔분석,실험결과표명료해산법적가용성화효솔.
To solve the problem of automatically colorizing gray images, a novel progressive method based on Gabor wavelets is pre-sented. 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 detailed color infor-marion step by step. And also, it is a natural parallelized algorithm and can be implemented in real-time with GPU. The effect and efficiency of the method are clearly demonstrated in the experiments.