HSV色彩空间下三边滤波的Retinex图像增强算法研究

Research on Retinex image enhancement algorithm based on three side filtering in HSV color space

图像处理技术一般都是对暗淡图形进行修复,提高该图像的辨识度和清晰度。这里提出一种彩色HSV空间下Retinex三边滤波图像处理算法,该算法是将RGB空间变成HSV空间进行处理。利用三遍滤波技术提取图像的亮度阶段,对图像脉冲噪声、高斯噪声进行降低,也能够对边缘细节部分进行保留。利用二值限制函数可以完成图像边缘平滑处理,从而提高图像边缘清晰度,选择Retinex多尺度技术增强图像强度,从而恢复图像信息。本文对三边滤波倾斜角度窗口滤波进行分析,探讨该像素内最好的领域范围,从而实现自动修复。

Image processing technology is generally used to repair dim graphics,improve the image recognition and clarity.A Retinex three edge filter image processing algorithm in color HSV space is proposed,which transform RGB space into HSV space.Then three times filter technology is used to extract the brightness stage of the image,which can reduce the image impulse noise and Gauss noise,and can also retain the details of the edges.The edge smoothness of the image can be processed by the two value restriction function,thus the edge definition of the image can be improved.The image intensities are enhanced by selecting the Retinex multi scale technology to restore the image information.This paper will analyze the three side filtering tilt angle window filtering,and explore the best field scope in this pixel,so as to realize automatic restoration.