Leo H Hui

Title: Leo H Hui and His Imaging Transformation Patents.

Introduction

Leo H Hui is an inventor associated with Los Angeles, California. His patent work includes methods for transforming radar and lidar data into display images while preserving image detail and improving processing efficiency. He is credited with 3 patents and has worked at Hughes Aircraft Company and Hughes Electronics Corporation.

Latest Patents

One of Hui’s latest patents, “Range Cell Formation Processing,” describes a method for improving image quality when data is transformed from range-azimuth coordinates, or B-scan format, into elevation-azimuth coordinates, or C-scan format. The process evaluates range-cell data and prioritizes bright objects, dark objects, and background levels to select suitable intensity values. This approach addresses missing data in the far range and reduces the apparent size of bright objects in the near range, helping maintain image contrast.

His patent “Precision High Speed Perspective Transformation from Range-Azimuth” presents a high-speed, high-precision method for converting range-azimuth image data into horizontal-vertical display coordinates. Designed particularly for radar and lidar data, the process uses recursive calculations and a second-order Taylor series approximation to reduce the number of operations needed for pixel-by-pixel transformation. It can support the presentation of B-scan data as a virtual image in C-scan format on a head-up-type display.

Career Highlights

Hui’s work focuses on image processing and coordinate transformation, with applications in displaying data collected by radar and lidar systems. His career includes associations with Hughes Aircraft Company and Hughes Electronics Corporation.

Collaborations

Hui’s listed coworkers include Roy T Okida and Michael W Autry. These associations provide context for his professional network, though the supplied information does not specify particular joint patents or projects.

Conclusion

Leo H Hui’s patents address practical challenges in transforming and displaying sensor imagery, combining image-contrast techniques with computationally efficient coordinate conversion.