基于引导滤波技术的低照度图像细节增强处理算法

Low⁃illumination image detail enhancement processing algorithm based on guided filtering technology

基于引导滤波技术,设计了一种新的低照度图像细节增强处理算法。首先,将低照度图像进行多频域分解,将图像分为不同的频率范围,并对每个频段进行独立的增强处理,以避免过度平滑和信息丢失。然后,将多阶增强后的图像由RGB颜色空间转换到HSV颜色空间来处理亮度和颜色信息,利用引导滤波技术对转换后的图像进行细节增强处理,以提高图像的信息熵和细节表现。最后,通过对经过引导滤波处理的图像进行映射辅助修正,以改善图像的感知质量和视觉效果。测试结果表明:相比于传统的增强处理算法,应用基于引导滤波的增强处理算法后,图像的信息熵可以达到6.88以上,说明该算法的增强处理效果更好,更具有实际应用价值。

A new enhanced processing algorithm of low⁃illumination image detail based on guided filtering technique was de⁃signed in this study.Firstly,the low⁃illumination images were subjected to multiple frequency domain decomposition,dividing the images into different frequency ranges,and each frequency band was independently enhanced to avoid excessive smoothing and in⁃formation loss.Secondly,the multiorder enhanced image is transformed from RGB color space to HSV color space to process the brightness and color information,and the guided filter technology is used to enhance the transformed image to improve the informa⁃tion entropy and detail performance of the image.Finally,the image processed by guided filtering is modified by mapping to im⁃prove the perceptual quality and visual effect of the image.The test results show that compared with the traditional enhancement processing algorithm,the information entropy of the image can reach more than 6.88 after the application,indicating that the en⁃hancement processing effect of the algorithm is better and has more practical application value.