Davis, CA, United States of America

Ozan Erdogan


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 1998

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1 patent (USPTO):Explore Patents

Title: Ozan Erdogan: Innovator in Video Encoding Technology

Introduction

Ozan Erdogan is a notable inventor based in Davis, CA (US). He has made significant contributions to the field of video encoding through his innovative patent. His work focuses on enhancing the quality of video sequences while minimizing the amount of information that needs to be encoded.

Latest Patents

Ozan Erdogan holds a patent for a "Method and apparatus for spatially adaptive filtering for video encoding." This invention provides a method and apparatus that filters a video sequence prior to the encoding process. The apparatus includes a noise variance determiner, a local variance determiner, a noise visibility function determiner, a Gaussian kernel determiner, and a convolver. This novel approach effectively removes noise directly from a Displaced Frame Difference (DFD) signal. By eliminating noise and high-frequency components without introducing filtering artifacts, his invention significantly reduces the information required for encoding while maintaining the quality of the decoded video sequence. Ozan Erdogan has 1 patent to his name.

Career Highlights

Throughout his career, Ozan has worked with prominent organizations such as Motorola Corporation and Northwestern University. His experience in these institutions has allowed him to develop and refine his innovative ideas in video technology.

Collaborations

Ozan has collaborated with notable individuals in his field, including Taner Ozcelik and James C Brailean. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Ozan Erdogan is a distinguished inventor whose work in video encoding technology has the potential to revolutionize the industry. His innovative methods and apparatus demonstrate a commitment to enhancing video quality while optimizing encoding efficiency.

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