基于时空域滤波的二维动画图像细节增强方法

Detail Enhancement Method of Two-Dimensional Animation Image Based on Spatiotemporal Filtering

应用常规二维动画图像增强方法,容易产生图像边缘模糊和清晰度较差等问题。基于此,引入时空域滤波算法,提出了一种全新的二维动画图像细节增强方法。首先,多尺度分解二维动画图像,提取有针对性的图像细节特征信息。其次,利用时空域滤波算法对动画图像进行降噪处理,减少图像中的噪声干扰。最后,依据双边滤波方法原理捕获动画图像的特征结构,增强和融合图像细节。实验结果分析可知,新方法能够显著提高各种不同类型动画图像的峰值信噪比,降低失真,从而优化图像质量、清晰度、视觉冲击力。

Aiming at the problems of image edge blurring and poor definition after the application of conventional twodimensional animation image enhancement methods.Based on this,a new method of 2D animation image detail enhancement is proposed by introducing spatiotemporal filtering algorithm.First of all,multi-scale decomposition of two-dimensional animation image,extraction of targeted image detail feature information.Secondly,the spatiotemporal filtering algorithm is used to denoise the animated image to reduce the noise interference in the image.Finally,according to the principle of bilateral filtering method,the feature structure of animation image is captured,and the image details are enhanced and fused.The analysis of experimental results shows that the new method can significantly improve the peak signal-to-noise ratio of various types of animated images,reduce distortion,and optimize image quality,clarity and visual impact.