动态图像序列影像检测仿真研究

Simulation Research of Dynamic Image Sequence Detection

对动态图像的序列影像进行检测,能够有效减少序列影像的失真现象。对动态图像序列影像检测,需要提取序列影像的边缘特征,对重构序列影像分量进行检测,完成对图像序列影像的检测。传统方法首先采用梯度域法构建图像辅助层,利用二次过滤法提取序列影像层增强处理暗区亮度,但忽略了检测重构序列影像分量,导致检测精度较低。提出动态图像序列影像的检测方法。对图像中的条纹噪声进行预处理,获取动态图像序列影像分量,选取影像的增强函数,提取序列影像分量的边缘特征,对动态图像序列影像分量进行重构,完成对动态图像序列影像的检测。仿真证明,所提方法有效的改善了动态图像序列影像的失真问题。

Traditional method uses gradient domain method to set up auxiliary layer of image, but ignores the de- tection of component of reconstructed sequence image, resulting in low detection precision. This paper proposes a method for detecting dynamic image sequence. After preproeessing the fringe noise in images, we obtain component of image sequence of dynamic image. Then, we select enhancement function of image to extract edge feature of component of sequence image and reconstruct component of image sequence of dynamic image. Thus, we finish the detection of sequence image of dynamic image. Simulation proves that the proposed method can effectively improve the distortion of dynamic image sequence.