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反正切色调分化模型的铅笔画绘制
引用本文:卢从利,尚媛园,丁辉,周修庄,付小雁.反正切色调分化模型的铅笔画绘制[J].中国图象图形学报,2015,20(9):1253-1261.
作者姓名:卢从利  尚媛园  丁辉  周修庄  付小雁
作者单位:首都师范大学信息工程学院, 北京 100048;首都师范大学信息工程学院, 北京 100048;北京数学与信息交叉科学协同创新中心, 北京 100048;首都师范大学高可靠嵌入式系统技术北京市工程技术研究中心, 北京 100048;首都师范大学信息工程学院, 北京 100048;北京数学与信息交叉科学协同创新中心, 北京 100048;首都师范大学高可靠嵌入式系统技术北京市工程技术研究中心, 北京 100048;首都师范大学信息工程学院, 北京 100048;北京数学与信息交叉科学协同创新中心, 北京 100048;首都师范大学电子系统可靠性技术北京市重点实验室, 北京 100048;首都师范大学信息工程学院, 北京 100048;北京数学与信息交叉科学协同创新中心, 北京 100048;首都师范大学电子系统可靠性技术北京市重点实验室, 北京 100048
基金项目:国家自然科学基金项目(11178017,61373090,61303104,61203238);北京市自然科学基金项目(4132014);北京市属高等学校创新团队建设与教师职业发展计划项目
摘    要:目的 在现阶段采用计算机模拟绘制真实铅笔画往往不能够逼近真实效果,主要原因之一是没有考虑到真实铅笔画中的色调较灰度图像有着更明显的暗灰亮层次变化的特性,基于这一问题提出一种新的铅笔画自动生成算法。方法 一方面在外轮廓提取中采取了LAB空间色差图与纹理图结合的方法,取代了传统基于梯度图的方法;另一方面保留了纹理色调连续变化的特点,且为了体现色调的分层效果提出了反正切色调分化模型,其核心思想是基于图像暗灰亮图层的像素比例来自适应地调整像素灰度值以达到色调分层的目的。结果 本文算法能够避开噪点的影响更好地展示细节,同时解决了直接分层结果中色调变化突然的缺陷,实现了亮度分层与色调连续变化的结合。结论 新算法在最终效果上较其他算法的优势体现在两方面,一是轮廓线的连续性更好,对比度更强,其次是纹理的效果能够同时兼顾连续性和分层,这是其他算法做不到的,本文算法适用于所有不同分辨率的彩色或灰度图像,且分辨率越高效果越好。

关 键 词:线性积分卷积(LIC)  LAB空间色差图  纹理对比度  反正切色调分化模型
收稿时间:2015/4/16 0:00:00
修稿时间:2015/5/22 0:00:00

Pencil drawing method based on arctangent hue differentiation model
Lu Congli,Shang Yuanyuan,Ding Hui,Zhou Xiuzhuang and Fu Xiaoyan.Pencil drawing method based on arctangent hue differentiation model[J].Journal of Image and Graphics,2015,20(9):1253-1261.
Authors:Lu Congli  Shang Yuanyuan  Ding Hui  Zhou Xiuzhuang and Fu Xiaoyan
Affiliation:College of Information Engineering, Capital Normal University, Beijing 100048, China;College of Information Engineering, Capital Normal University, Beijing 100048, China;Collaborative Innovation Center for Mathematics and Information of Beijing, Beijing 100048, China;Beijing Engineering Research Center of High Reliable Embedded System, Capital Normal University, Beijing 100048, China;College of Information Engineering, Capital Normal University, Beijing 100048, China;Collaborative Innovation Center for Mathematics and Information of Beijing, Beijing 100048, China;Beijing Engineering Research Center of High Reliable Embedded System, Capital Normal University, Beijing 100048, China;College of Information Engineering, Capital Normal University, Beijing 100048, China;Collaborative Innovation Center for Mathematics and Information of Beijing, Beijing 100048, China;Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing 100048, China;College of Information Engineering, Capital Normal University, Beijing 100048, China;Collaborative Innovation Center for Mathematics and Information of Beijing, Beijing 100048, China;Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University, Beijing 100048, China
Abstract:Objective At its present stage, pencil drawing using a computer cannot approximate reality primarily because tone in real penciling has more obvious characteristics in dark, grey, and bright layers' changing than in a greyscale image. To address this problem, a novel pencil drawing automatic generation method is proposed. Method The new method replaces traditional gradient image method to combine a LAB space color difference image and a texture image as features for outer outline extraction. It also allows thetexture's constant hue to change in the rendering process. An arctangent hue differentiation model is likewise proposed to reflect the hue layered effect.The core idea, based on the dark, grey and bright layers' pixelratio, is to adjust the pixel grey value to achieve layering tones. Result The new method avoids noise impact and displays detailsbetter. It not only resolves the sudden color change in direct stratification but also achieves integration between brightness stratification and continuous huechanges. Conclusion The final effect shows that the new algorithm has two advantages over other algorithms. First, the outline is more continuous and clear. Second, the effect of texture can achieveboth consistency and layering, which cannot be achieved by other algorithms. The proposedalgorithm can be applied to either colorful or grey images of various resolutions; the higher the resolution is, the better the effect is.
Keywords:linear integral convolution(LIC)  LAB space color differentiation image  texture contrast  arctangent hue differentiation mode
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