Newton, MA, United States of America

Hao-Song Kong



Average Co-Inventor Count = 3.8

ph-index = 6

Forward Citations = 115(Granted Patents)


Location History:

  • Auburndale, MA (US) (2006)
  • Newton, MA (US) (2007 - 2009)

Company Filing History:


Years Active: 2006-2009

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8 patents (USPTO):Explore Patents

Title: Innovations of Hao-Song Kong

Introduction

Hao-Song Kong is a notable inventor based in Newton, MA, with a significant contribution to the field of image processing. He holds a total of 8 patents, showcasing his expertise and innovative spirit in developing advanced technologies.

Latest Patents

Among his latest patents is a system and method for reducing ringing artifacts in images. This method effectively reduces artifacts in an input image by generating a variance image and partitioning the input image into multiple blocks of pixels. Each block is classified into categories such as smooth, texture, and edge, allowing for targeted processing. A fuzzy filter is then applied to the edge blocks to enhance image quality. Another significant patent involves image transcoding, which details a method for transcoding an image from an encoded input bitstream. This process includes decoding the input bitstream to understand its structure and encoding it again based on specified coordinates and progressive parameters, resulting in an optimized output bitstream.

Career Highlights

Hao-Song Kong is currently employed at Mitsubishi Electric Research Laboratories, Inc., where he continues to push the boundaries of technology through his innovative work. His contributions have been instrumental in advancing image processing techniques, making a lasting impact in the field.

Collaborations

He has collaborated with notable colleagues such as Anthony Vetro and Huifang Sun, further enriching his research and development efforts.

Conclusion

Hao-Song Kong's work exemplifies the spirit of innovation in technology, particularly in image processing. His patents reflect a deep understanding of complex systems and a commitment to enhancing image quality through advanced methods.

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