首页> 外国专利> METHOD OF DENOISING AND ENHANCING VIDEO IMAGE BASED ON RANDOM SPRAY RETINEX AND DEVICE UTILIZING SAME

METHOD OF DENOISING AND ENHANCING VIDEO IMAGE BASED ON RANDOM SPRAY RETINEX AND DEVICE UTILIZING SAME

机译:基于随机喷涂视网膜和相同设备的视频图像降噪和增强方法

摘要

The invention relates to a technical field of image processing and discloses a method of denoising and enhancing a video image based on random spray retinex. The method comprises: constructing a spray pixel point set, and adjusting and optimizing parameters related to random spray retinex processing, wherein the parameters comprise a count of spray sets and a count of pixel points; performing a random spray retinex processing on a video image on a basis of the adjusted and optimized parameters; performing a low-pass filter denoising processing and a fuzzy channel denoising processing on the video image that has been processed by the random spray retinex to acquire a brightness change calculation function; acquire according to the brightness change calculation function a brightness calculation function of an output image, and adopting the brightness calculation function to calculate brightness change values of three channels and to generate a local brightness estimation vector; combining three channels on a basis of the acquired local brightness estimation vector to acquire a denoised and enhanced video image. The present invention provides a brightness change calculation function capable of realizing effective denoising, greatly improving image resolution.
机译:本发明涉及图像处理技术领域,公开了一种基于随机喷雾图像的视频图像去噪和增强方法。该方法包括:构造喷雾像素点集,以及调整和优化与随机喷雾retinex处理有关的参数,其中,所述参数包括喷雾集的数量和像素点的数量。根据调整和优化后的参数对视频图像进行随机喷涂Retinex处理;对已经由随机喷涂例程进行处理的视频图像进行低通滤波器去噪处理和模糊通道去噪处理,以获取亮度变化计算功能;根据所述亮度变化计算函数,获取输出图像的亮度计算函数,并采用所述亮度计算函数计算三个通道的亮度变化值,并生成局部亮度估计矢量;在获取的局部亮度估计矢量的基础上,对三个通道进行组合,得到降噪增强后的视频图像。本发明提供了一种亮度变化计算功能,能够实现有效的降噪,大大提高了图像分辨率。

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