摘要
传统三维动画图像细节识别方法信噪比低、辨识时间长,基于此提出基于光参量放大的三维动画图像细节模糊增强技术。先构建三维动画图像细节特征透射关系模型,通过光参量放大法进行三维动画图像的细节颜色衰减处理。通过滤波保持的方法对输入图像细节进行滤波处理,采用Sobel算子检测动画图像的弱边缘信息,在边缘区域采用自适应插值的方法,实现三维动画图像细节增强和光参量检测放大,提高图像的模糊增强和辨识能力。测试表明,本文方法的峰值信噪比值为37.7166 dB,细节辨识时长为101 ms,清晰度高达93%,有效解决图像的边缘模糊和失真的问题。
The traditional 3D animation image detail recognition method has low signal-to-noise ratio and long recognition time.To solve these problems,a 3D animation image detail blur enhancement technology based on optical parametric amplification is proposed.First,a transmission relationship model of the detail feature of the 3D animation image is constructed,and the detail color attenuation of the 3D animation image is processed by the optical parametric amplification method.The input image details are filtered by the filtering and holding method,the Sobel operator is used to detect the weak edge information of the animation image,and the adaptive interpolation method is adopted in the edge area to achieve three-dimensional animation image detail enhancement and optical parameter detection and amplification,and improve the blur enhancement and recognition ability of the image.The test shows that the peak signal-to-noise ratio of the method in this paper is 37.7166 dB,the detail recognition time is 101 ms,and the resolution is as high as 93%,which effectively solves the problem of image edge blur and distortion.
作者
杨艳霞
YANG Yanxia(Wuhan Institute of City,Wuhan 430081,China)
出处
《激光杂志》
CAS
北大核心
2022年第9期114-118,共5页
Laser Journal
基金
湖北省教育厅科研项目(No.B2020332)
武汉城市学院院级重点科学研究项目(No.2019CYZDkY005)。
关键词
光参量放大
三维动画图像
细节模糊增强
边缘失真
optical parametric amplification
three-dimensional animation image
=detail blur enhancement
edge distortion
