Lerenhan Li

Title: Innovations of Lerenhan Li in Image Processing

Introduction

Lerenhan Li is a notable inventor based in Hubei, China. He has made significant contributions to the field of image processing, particularly in the estimation of blur kernels. With a total of 3 patents, his work addresses critical challenges in image deblurring techniques.

Latest Patents

Lerenhan Li's latest patents include a "Method and system for selecting image region that facilitates blur kernel estimation." This invention discloses a method that calculates a relative total variation value for each pixel in a blurred image. It sets a threshold to determine boundary pixels and samples the image to obtain patches for analysis. This innovative approach effectively resolves issues related to operator dependency and efficiency in existing methods.

Another significant patent is the "Method and system for estimating blur kernel size." This method involves pre-processing a blurred image to meet the input size requirements of a multi-class convolutional neural network (CNN). The image is then input into a trained CNN to obtain a probability distribution vector for blur kernel sizes. The estimated size corresponds to the largest element in this vector, providing a systematic approach to blur kernel estimation.

Career Highlights

Lerenhan Li is affiliated with Huazhong University of Science and Technology, where he continues to advance research in image processing. His work has garnered attention for its practical applications in various image deblurring algorithms.

Collaborations

Lerenhan has collaborated with notable colleagues, including Nong Sang and Luxin Yan, contributing to the advancement of their shared research interests.

Conclusion

Lerenhan Li's innovative patents and contributions to image processing demonstrate his expertise and commitment to solving complex problems in the field. His work continues to influence advancements in image deblurring techniques.