立体视觉下连续翻页动画效果增强方法仿真
|
摘要
需要研究一种连续翻页动画效果增强方法,能够增强翻页动画图像的色彩保留度,降低失真度,增强连续翻页动画在立体视觉中的实际应用效果。针对当前方法在实现过程中由于噪音影响导致连续翻页动画亮度变化不够均匀,信息失真度较高等问题,提出一种基于Huber-MRF模型的连续翻页动画效果增强方法,通过利用NLN算法计算相似性权值,运用正交阵序列向量构建的空间对翻页动画图像进行分解,经过迭代后获取去噪后的翻页动画图像。针对去噪后的翻页动画图像,计算构建MAP模型的能量函数、数据项和平滑项,对相邻像素集合阈值,同时对Huber函数线性局部斜率进行调节,获取增强后的连续翻页动画效果图像。仿真结果证明,所提方法能够均衡动画亮度,降低失真度,增强翻页动画模糊系数、标准差异系数、信息熵和边缘保持度,在实际应用中具有一定的现实意义。
In this paper, we focus on a method to enhance continuous page turning animation effect based on Huber-MRF model. At first, we used NLN algorithm to calculate the similarity weight. Then, we used the space constructed by sequence vectors of orthogonal matrix to decompose the page turning animation image and obtain the denoised image of page turning animation after iteration. Moreover, we calculated the energy function, data item and smooth item of MAP model, and then we set threshold for adjacent pixels. Simultaneously, we adjusted the linear local slope of Huber function. Finally, we obtained the continuous page turning animation image after the enhancement. Simulation results show that the proposed method can balance the brightness of animation and ensure the degree of distortion. Meanwhile, this method can enhance the fuzzy coefficient, the standard difference coefficient, the information entropy and the edge preserving degree, which has realistic meaning in practical application.
In this paper, we focus on a method to enhance continuous page turning animation effect based on Huber-MRF model. At first, we used NLN algorithm to calculate the similarity weight. Then, we used the space constructed by sequence vectors of orthogonal matrix to decompose the page turning animation image and obtain the denoised image of page turning animation after iteration. Moreover, we calculated the energy function, data item and smooth item of MAP model, and then we set threshold for adjacent pixels. Simultaneously, we adjusted the linear local slope of Huber function. Finally, we obtained the continuous page turning animation image after the enhancement. Simulation results show that the proposed method can balance the brightness of animation and ensure the degree of distortion. Meanwhile, this method can enhance the fuzzy coefficient, the standard difference coefficient, the information entropy and the edge preserving degree, which has realistic meaning in practical application.
引文
[1] 宋佳,等. 有限元仿真动画效果优化方法研究[J]. 北京交通大学学报, 2016,40(1): 37-41.
[2] 莫艳兰. 视觉训练对弱视患儿视觉恢复和立体视觉重建的干预效果[J]. 社区医学杂志, 2016,14(20):52-54.
[3] 王泽宇,等. 3维立体动画制作的视觉效果评价[J]. 中国图象图形学报, 2016,21(3): 396-404.
[4] 巨刚,等. 多算法融合的自适应图像增强方法[J]. 光子学报, 2016,45(12):136-144.
[5] 牛为华,等. 利用Grümwald-Letnikov分数阶方向导数的图像增强方法[J]. 计算机辅助设计与图形学学报, 2016,28(1):129-137.
[6] 李凯,张烨. 基于Matlab直方图技术的图像增强方法研究[J]. 自动化与仪器仪表, 2017,37(10):45-48.
[7] 李德兵. 三维立体动画增强图像处理效果仿真研究[J]. 计算机仿真, 2018,35(1): 201-205.
[8] 侯天娇,等. 一种基于 FPGA 的彩色图像实时增强方法[J]. 液晶与显示, 2016,31(12): 1161-1167.
[9] 蒋巍,卢娜.多尺度运动片段连接的人体运动动画生成算法[J].科技通报,2017,33(6):170-173.
[10] 洪志国,王永滨,石民勇. 基于双目立体视觉原理的立体视频自动生成软件开发[J]. 中国传媒大学学报(自然科学版), 2016,23(3): 12-16.
[2] 莫艳兰. 视觉训练对弱视患儿视觉恢复和立体视觉重建的干预效果[J]. 社区医学杂志, 2016,14(20):52-54.
[3] 王泽宇,等. 3维立体动画制作的视觉效果评价[J]. 中国图象图形学报, 2016,21(3): 396-404.
[4] 巨刚,等. 多算法融合的自适应图像增强方法[J]. 光子学报, 2016,45(12):136-144.
[5] 牛为华,等. 利用Grümwald-Letnikov分数阶方向导数的图像增强方法[J]. 计算机辅助设计与图形学学报, 2016,28(1):129-137.
[6] 李凯,张烨. 基于Matlab直方图技术的图像增强方法研究[J]. 自动化与仪器仪表, 2017,37(10):45-48.
[7] 李德兵. 三维立体动画增强图像处理效果仿真研究[J]. 计算机仿真, 2018,35(1): 201-205.
[8] 侯天娇,等. 一种基于 FPGA 的彩色图像实时增强方法[J]. 液晶与显示, 2016,31(12): 1161-1167.
[9] 蒋巍,卢娜.多尺度运动片段连接的人体运动动画生成算法[J].科技通报,2017,33(6):170-173.
[10] 洪志国,王永滨,石民勇. 基于双目立体视觉原理的立体视频自动生成软件开发[J]. 中国传媒大学学报(自然科学版), 2016,23(3): 12-16.