Company Filing History:
Years Active: 2021-2025
Title: The Innovative Contributions of Yu Sun
Introduction
Yu Sun is a prominent inventor based in Guangdong, China, known for his significant contributions to the fields of image coding and decoding. With a total of 11 patents to his name, he has made remarkable advancements in technology that enhance the efficiency and effectiveness of image processing.
Latest Patents
Yu Sun's latest patents include a method for determining prediction values and a decoder. The method involves parsing a bitstream to obtain the size and coding mode of a current block. It also includes acquiring reconstructed values of neighboring samples and filtering them. A second constant value is calculated based on the bit depth of a luma component in the current block. The difference between this second constant value and a first reference value is assigned as a first prediction input value. Other prediction input values are determined, and prediction values of samples at specific positions are calculated and filtered to obtain the final prediction values for all samples in the current block. Additionally, he has developed an image coding and decoding method, along with an encoder, decoder, and storage medium, which enhances the efficiency of image processing.
Career Highlights
Throughout his career, Yu Sun has worked with notable companies such as Guangdong Oppo Mobile Telecommunications Corp., Ltd. and Tencent Technology (Shenzhen) Company Limited. His experience in these leading technology firms has allowed him to refine his skills and contribute to groundbreaking innovations in the industry.
Collaborations
Yu Sun has collaborated with talented individuals such as Junyan Huo and Yanzhuo Ma, further enriching his work and expanding the scope of his inventions.
Conclusion
Yu Sun's innovative work in image coding and decoding has significantly impacted the technology landscape. His patents reflect a deep understanding of complex processes and a commitment to advancing the field. His contributions continue to influence the development of efficient image processing technologies.
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