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作 者:凌本新 Ling Benxin(Shanghai Vocational College of Arts and Crafts,Shanghai 201100,China)
出 处:《兵工自动化》2025年第1期57-61,共5页Ordnance Industry Automation
摘 要:传统的模糊增强方法在实际应用中存在处理后动画图像的清晰度不佳问题,为此,引入计算机视觉技术,进行动画图像细节模糊增强方法优化。首先,获取动画图像细节特征,构建动画图像数学模型;其次,利用先验图谱知识代替动画图像中的暗原色,实现动画图像细节颜色衰减处理;然后,基于计算机视觉技术,对动画图像模糊边缘信息分割;采用导向滤波的暗通道先验方法,完成动画图像细节模糊增强处理。实验结果表明:新的方法可以有效提高动画图像的清晰度,且动画图像细节模糊增强处理的效率也得到了极大提升。The traditional fuzzy enhancement method has the problem that the definition of the processed animation image is not good in practical application.Therefore,the computer vision technology is introduced to optimize the fuzzy enhancement method of the animation image details.The method comprises the following steps of:firstly,acquiring detail features of an animation image,and constructing a mathematical model of the animation image;secondly,replacing dark primary colors in the animation image by using prior atlas knowledge,and realizing detail color attenuation processing of the animation image;thirdly,segmenting fuzzy edge information of the animation image based on a computer vision technology;and finally,completing detail fuzzy enhancement processing of the animation image by using a dark channel prior method of guided filtering.The experimental results show that the new method can effectively improve the clarity of animation images,and the efficiency of fuzzy enhancement processing of animation image details has also been greatly improved.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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