Enhanced Simulation of Low Illuminance Image Detail Based on Structured Forest
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With the rapid development of information science and technology in modern society, as the most commonly used information carrier in human social activities, the demand for images is increasingly diversified and the demand is increasing. As a basic problem in image processing and computer vision, edge detection of digital images plays a very important role in image segmentation, motion analysis, target recognition and tracking. In view of the characteristics of structured forest images obtained under low illumination environment, this paper focuses on the existing related algorithms, and improves and perfects the traditional low illumination image enhancement algorithm.
Structured Forest, Low Illumination Image, Detail Reinforcement Simulation