Chang-Shing Lee

Title: Innovations of Chang-Shing Lee in Image Processing

Introduction

Chang-Shing Lee is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of image processing, particularly through his innovative patent that addresses the challenges of noise reduction in images.

Latest Patents

Chang-Shing Lee holds a patent for the "Design and hardware synthesis of adaptive weighted fuzzy mean image filter." This invention proposes a novel nonlinear filter called the adaptive weighted fuzzy mean (AWFM) filter, which is capable of removing high-density Gaussian impulse noises in polluted images. The AWFM filter utilizes a unique approach where the weights are determined according to a set of fuzzy rules constructed through a proposed procedure. This method allows for concurrent inference of all fuzzy rules in the knowledge base for input nature estimation and filter adaptation. Statistical analyses confirm that the AWFM filtering demonstrates robust and consistent performance, even when images are heavily polluted. The filter is synthesized using generic LR fuzzy cells that adopt CMOS analog current mode technology, achieving high speed, low power consumption, and a compact circuit area. Simulations indicate that the synthesized AWFM filter can process up to 50 images of size 256×256 per second, with each fuzzy cell performing 20 million fuzzy logic inferences per second.

Career Highlights

Chang-Shing Lee is associated with the National Science Council, where he continues to contribute to advancements in technology and research. His work has garnered attention for its innovative approach to solving complex problems in image processing.

Collaborations

Chang-Shing Lee has collaborated with notable colleagues, including Yau-Hwang Kuo and Chao-Lieh Chen, enhancing the impact of his research through teamwork and shared expertise.

Conclusion

Chang-Shing Lee's contributions to the field of image processing through his innovative patent exemplify the importance of research and development in technology. His work not only addresses practical challenges but also paves the way for future advancements in the field.