Ling Li

Title: Innovations of Ling Li in Low-Light Image Enhancement

Introduction

Ling Li is an accomplished inventor based in Nanjing, China. She has made significant contributions to the field of image processing, particularly in enhancing low-light images. Her innovative approach combines reinforcement learning with aesthetic evaluation to improve image quality.

Latest Patents

Ling Li holds a patent titled "Methods for enhancement of low-light images based on reinforcement learning and aesthetic evaluation." This patent discloses a method for enhancing low-light images by generating images of non-normal luminance under various lighting conditions. The process involves constructing a training dataset for a reinforcement learning system, initializing the dataset, and updating the policy and value networks based on reward scores. The method expands the action space in reinforcement learning, allowing for greater flexibility in enhancing low-light images. By incorporating aesthetic quality assessment scores into the loss function, the enhanced images achieve superior visual effects and higher subjective user evaluation scores.

Career Highlights

Ling Li is affiliated with Nanjing University of Aeronautics and Astronautics, where she continues to advance her research in image processing. Her work has garnered attention for its practical applications in real-world scenarios, particularly in fields requiring low-light image enhancement.

Collaborations

Ling Li collaborates with notable colleagues, including Dong Liang and Shengjun Huang. Their combined expertise contributes to the innovative research and development in the field of image processing.

Conclusion

Ling Li's contributions to low-light image enhancement through her patented methods demonstrate her innovative spirit and dedication to advancing technology. Her work not only improves image quality but also enhances user experience in various applications.