Sheng Lin

Title: **The Innovative Journey of Sheng Lin: A Pioneer in Image Processing Patents**

Introduction

Sheng Lin, an accomplished inventor based in San Jose, CA, has made significant contributions to the field of image processing, evidenced by his impressive portfolio of 71 patents. His innovative work has led to advancements in various technologies, particularly in the development of image signal processors and neural image compression techniques.

Latest Patents

One of Sheng Lin's latest patents is focused on an auto-focus engine architecture for image signal processors. This invention employs binner circuits that down-sample input images composed of numerous pixels, ultimately producing an output image with a reduced number of pixels. The binner circuit is versatile, featuring several operational modes including bin mode, skip mode, luminance mode, and color value mode, allowing for enhanced image processing. Another significant patent includes a block-wise entropy coding method in neural image compression, detailing a system that partitions an image into blocks, compresses them via a neural network-based encoder, and utilizes entropy encoding to optimize bitstream generation.

Career Highlights

Throughout his career, Sheng Lin has held key positions at prominent companies, including Apple Inc. and Aptina Imaging Corporation. His work at these organizations has solidified his reputation as an expert in image processing technology and has allowed him to refine his innovative techniques in real-world applications.

Collaborations

In his journey, Sheng Lin has joined forces with notable professionals, including D Amnon Silverstein and Suk Hwan Lim. Collaborating with such talented individuals has undoubtedly enriched his projects and contributed to the success of his patents.

Conclusion

Sheng Lin continues to be a driving force in the advancements of imaging technologies. With a remarkable collection of patents and a history of collaboration with influential figures in the industry, his innovative contributions resonate throughout the technology landscape, promising even greater advancements in the future.