Hao Yan

Title: Hao Yan - Innovator in Image Processing Technology

Introduction

Hao Yan is a prominent inventor based in Hubei, China. He has made significant contributions to the field of image processing, particularly in the area of blur kernel estimation. His innovative approach addresses common challenges faced in image deblurring algorithms.

Latest Patents

Hao Yan holds a patent for a "Method and system for selecting image region that facilitates blur kernel estimation." This invention discloses a method that includes calculating a relative total variation value of each pixel in a blurred image to obtain a relative total variation mapping image. The method sets a threshold value to determine whether each pixel in the image is a boundary pixel. It samples the blurred image and its relative total variation mapping image to obtain a series of image patches. Finally, it counts the number of boundary pixels in each mapping image patch and selects an image region that facilitates blur kernel estimation. This method effectively solves the problems of excessive dependency on operator experience and low efficiency in existing region selection methods.

Career Highlights

Hao Yan is affiliated with Huazhong University of Science and Technology, where he continues to advance his research in image processing technologies. His work has garnered attention for its practical applications in improving image quality through advanced algorithms.

Collaborations

Hao Yan has collaborated with notable colleagues, including Nong Sang and Lerenhan Li. Their joint efforts contribute to the ongoing research and development in the field of image processing.

Conclusion

Hao Yan's innovative methods in image processing demonstrate his commitment to enhancing technology in this field. His contributions, particularly in blur kernel estimation, highlight the importance of research and development in improving image quality.