Jing Song

Title: Innovations of Jing Song in Image Processing

Introduction

Jing Song is a notable inventor based in Xi'an, China. He has made significant contributions to the field of image processing, particularly in the area of image dehazing. His innovative methods have the potential to enhance visual clarity in various applications.

Latest Patents

Jing Song holds a patent for a method titled "Method for image dehazing based on adaptively improved linear global atmospheric light of dark channel." This method involves obtaining a haze image during hazy weather conditions. It calculates the variation angle of atmospheric light by determining the slope of a connection line between the center and the center of gravity of a binary image. The process results in a linear atmospheric light map that varies along a specific direction, ultimately leading to the generation of a dehazed image through an atmospheric scattering model. The final output is a processed haze image that improves visibility in adverse weather conditions.

Career Highlights

Jing Song is affiliated with Chang'an University, where he continues to engage in research and development in image processing technologies. His work is characterized by a commitment to advancing the understanding and application of image dehazing techniques.

Collaborations

Jing collaborates with colleagues such as He Huang and Lu Guo, contributing to a dynamic research environment that fosters innovation and knowledge sharing.

Conclusion

Jing Song's contributions to image processing through his patented methods demonstrate his expertise and commitment to innovation. His work not only enhances image clarity but also paves the way for future advancements in the field.