Company Filing History:
Years Active: 2012-2013
Title: Innovations of Chi-Wen Huang in Image Decoding
Introduction
Chi-Wen Huang is a notable inventor based in Taichung County, Taiwan. He has made significant contributions to the field of image decoding, particularly in the development of methods that enhance the efficiency of JPEG image processing. With a total of three patents to his name, Huang's work is recognized for its innovative approach to managing memory resources during image decoding.
Latest Patents
Huang's latest patents include a method for progressive JPEG image decoding and a method for controlling a decoder. The first patent discloses a technique where the amount of macroblocks that can be stored during the decoding process is determined based on memory size. This allows for the division of a scan layer into multiple decoding areas, enabling the decoding of data from the same area across all scan layers in each turn. This method ensures that images can be decoded accurately even with limited memory resources, maintaining high display quality. The second patent focuses on a progressive JPEG image decoding method that utilizes a non-zero history table and a sign table for variable length decoding results. This approach saves memory space by not directly storing decoded coefficients, allowing for correct image display even with constrained memory.
Career Highlights
Chi-Wen Huang is currently employed at Sunplus Technology Co., Ltd., where he continues to innovate in the field of image processing technologies. His work has been instrumental in advancing the capabilities of image decoding methods, making them more efficient and effective.
Collaborations
Huang collaborates with Yu-Chi Chen, a talented woman in the field, contributing to the development of cutting-edge technologies in image decoding.
Conclusion
Chi-Wen Huang's contributions to image decoding through his innovative patents demonstrate his expertise and commitment to advancing technology in this area. His work not only enhances the efficiency of image processing but also ensures high-quality display even under memory constraints.
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