Name
Abstract | ||
|---|---|---|
In this paper, we present a grey-scale image colorization technique by using local correlation based optimization algorithm. The core of our colorization method is to formalize the colorization problem as minimizing a quadratic cost function under some assumptions that are mainly based on the local image characters. It can be successfully applied in colorization a variety of grey-scale images. In our colorization method, users only need to freely scribble the desired color in the input grey-scale image, which is a great improvement upon the traditional manual colorization techniques. By introducing new local connectivity factor and distance factor, our approach can effectively alleviate the color diffuseness in different regions, which is one of main problem in previous colorization methods. Additionally, by exploiting subsampling in YUV space, we accelerate the colorization process with nearly the same good results. Experiments show that better colorization results can be obtained faster with our method. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11590064_2 | VISUAL |
Keywords | Field | DocType |
colorization process,optimization algorithm,local correlation,grey-scale image colorization,traditional manual colorization technique,grey-scale image,better colorization result,grey-scale image colorization technique,previous colorization method,colorization method,colorization problem,input grey-scale image,cost function | Computer vision,Scribble,Image colorization,Quadratic cost,Minification,Quadratic function,Correlation,Minimisation (psychology),Artificial intelligence,Optimization algorithm,Mathematics | Conference |
Volume | ISSN | ISBN |
3736 | 0302-9743 | 3-540-30488-6 |
Citations | PageRank | References |
2 | 0.39 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongdong Nie | 1 | 20 | 2.42 |
| Lizhuang Ma | 2 | 498 | 100.70 |
| Shuangjiu Xiao | 3 | 41 | 14.18 |
| Xuezhong Xiao | 4 | 132 | 6.33 |