关键词: 引导滤波, 低照度图像, 数字化摄影图像, 图像增强处理, 伽马校正算法

Abstract: In the process of low light digital photography image processing, a guided filtering based image enhancement algorithm is proposed to avoid image distortion and detail loss. Firstly, the brightness component area of low light digital photography images is divided, the classic gamma correction algorithm is optimized, and then a sliding window is used to convert the RGB(Red, Green, Blue) mode of the original image to HSV(Hue, Saturation, Value) mode. The position and radius range of the sliding window is adjusted in real time to ensure that the gamma value is within the optimal range and retain the local information of low light digital photography images. By guiding filtering, the image is divided into a base layer and a detail layer, and processing methods such as segmentation clustering, compression mapping, and contrast function adjustment, and fractional order differential masks are used to enhance the base layer and detail layer. Finally, the basic layer and detail layer are fused through fusion factors to obtain the enhanced image. The experimental results show that the algorithm can better highlight the detailed edges and enhance the details of the image, and can achieve good image enhancement effects. 

Key words: guided filtering, low light images, digital photographic images, image enhancement processing, gamma correction algorithm