基于灰度合成的图像素描效果生成算法

An image sketch effect generation algorithm based on gray-scale synthesis

提出一种采用灰度合成的图像素描效果快速生成算法,实现真实感图像的艺术化生成.不同于已有算法只是利用经典的边缘检测方法来提取图像的边缘特征,本算法通过灰度信息分布来控制素描图像的细节特征,通过灰度合成得到图像边缘特征的加强和柔化,形成素描效果.算法首先得到输入图像的灰度反色图,并对其进行高斯模糊滤波,平滑边缘特征.然后采用灰度合成将滤波后的反色图和输入图像的灰度图进行合成,并同时起到对混合的图像的亮度进行自适应调整的作用,形成图像素描艺术风格.实验结果表明,算法在突出边缘特征的同时,能够较好地保持输入图像的细节特征,并实现素描效果.

A sketch generation algorithm based on gray-scale synthesis for artistic effect of realistic images is proposed in this paper. It is different with existing algorithms that only uses edge detection method to extract the image edge features. This algorithm remains important details of the characteristics in the image through gray-scale distribution. The image edge features is enhanced and softened through gray-scale synthesis in order to format the sketch effect. Firstly, the input image is converted into the anti-color image and filtered through Gaussian blur filter in order to smooth edge feature. Secondly, the anti-color image and the original input gray image are synthesized by gray-scale synthesis and the brightness of mixed image can be is adjusted adaptively. It will lead to format artistic style sketch images. The experiment results show that this algorithm can keep the details of the characteristics of the input image and achieve sketch effect.