Yung-Ching Chang

Title: Yung-Ching Chang: Innovator in Quantization Matrix Adjusting Methods

Introduction

Yung-Ching Chang is a notable inventor based in Kaohsiung County, Taiwan. He has made significant contributions to the field of image processing through his innovative patents. With a total of nine patents to his name, Chang has focused on enhancing the quality of image coding techniques.

Latest Patents

Chang's latest patents include a "Quantization matrix adjusting method for quality improvement." This method involves scaling down the default quantization matrix to improve image quality. The process includes updating used bits and average quantizer scale, allocating a bit budget for the current picture, and calculating an estimated quantizer scale. If the estimated scale is below a certain threshold, the method switches to an adjusting mode, allowing for a new quantization matrix to be used in coding the current picture.

Another significant patent is the "Quantization matrix adjusting method for avoiding underflow of data." This method aims to prevent underflow in video buffer verification by enlarging the default quantization matrix. Similar to the previous method, it involves updating used bits and average quantizer scale, allocating a bit budget, and determining the operation mode based on the estimated quantizer scale. If the scale exceeds a threshold, the method enlarges the quantization matrix for effective coding.

Career Highlights

Yung-Ching Chang is currently employed at Silicon Integrated Systems Corporation, where he continues to innovate in the field of image processing. His work has been instrumental in developing methods that enhance the efficiency and quality of image coding.

Collaborations

Chang has collaborated with talented coworkers, including Chia-Chieh Chen and Teng-Kai Wang. Their combined expertise contributes to the advancement of technology in their field.

Conclusion

Yung-Ching Chang is a prominent inventor whose work in quantization matrix adjusting methods has significantly impacted image processing technology. His innovative approaches continue to pave the way for advancements in this area.