Jing-Feng Weng

Title: Innovations of Jing-Feng Weng in Image Reconstruction

Introduction

Jing-Feng Weng is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of image reconstruction, particularly through his innovative methods for noise removal. With a total of 2 patents, Weng's work has advanced the capabilities of image processing technologies.

Latest Patents

Weng's latest patents include two groundbreaking methods. The first patent is titled "Integration of filters and phase unwrapping algorithms for removing noise in image reconstruction." This method focuses on detecting and eliminating noise in image reconstruction by integrating filters and phase unwrapping algorithms. It effectively addresses speckle noise, residual noise, and noise at the lateral surface of height discontinuities. The outcome is a noise-free unwrapped phase map, leading to successful image reconstruction of object images.

The second patent is "Rotation phase unwrapping algorithm for image reconstruction." This method aims to generate an unwrapped phase map that is free from noise error, shifting error, and hole error during image reconstruction. It employs an unwrapping rotation phase unwrapping algorithm to achieve accurate image reconstruction.

Career Highlights

Jing-Feng Weng is affiliated with National Cheng Kung University, where he continues to contribute to research and development in his field. His work has garnered attention for its practical applications in improving image quality and processing efficiency.

Collaborations

Weng collaborates with Yu-Lung Lo, enhancing the research output and innovation potential in their projects.

Conclusion

Jing-Feng Weng's contributions to image reconstruction through his innovative patents demonstrate his expertise and commitment to advancing technology in this field. His work not only addresses current challenges but also paves the way for future developments in image processing.