Nanchang, China

Chengzhong Wu


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Chengzhong Wu: Innovator in Image Processing

Introduction

Chengzhong Wu is a prominent inventor based in Nanchang, China. He has made significant contributions to the field of image processing, particularly in generating industrial defect images. His innovative approach has garnered attention in both academic and industrial circles.

Latest Patents

Chengzhong Wu holds a patent titled "Method for generating industrial defect image, device, medium, and product." This patent relates to the field of image processing and outlines a method that includes acquiring an industrial defect-free image and generating an industrial defect image using a defect image generation model. The model is constructed based on a cyclic Generative Adversarial Network (GAN) and includes two generators and two discriminators. Each generator consists of an encoder, a transformer, and a decoder connected in sequence. The encoder extracts features from an input image, the transformer applies a self-attention-based residual network, and the decoder utilizes a skip connection mechanism and deconvolution operations to produce the final generated image.

Career Highlights

Chengzhong Wu is affiliated with Nanchang Hangkong University, where he continues to advance his research in image processing. His work has not only contributed to academic knowledge but also has practical applications in various industries.

Collaborations

Chengzhong Wu has collaborated with notable colleagues, including Congxuan Zhang and Shijie Zhang. Their combined expertise enhances the research and development efforts in their field.

Conclusion

Chengzhong Wu's innovative work in image processing, particularly in generating industrial defect images, showcases his significant contributions to technology. His patent and collaborations reflect his commitment to advancing the field and addressing real-world challenges.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…