Company Filing History:
Years Active: 2021-2025
Title: Kaiming Liu: Innovator in Image Processing Technology
Introduction
Kaiming Liu is a notable inventor based in Santa Clara, California. He has made significant contributions to the field of image processing, holding three patents that showcase his innovative approach to technology. Liu's work primarily focuses on enhancing image fusion techniques, which are crucial in various applications, including photography and video processing.
Latest Patents
One of Liu's latest patents is titled "Linear transform of undistorted image for fusion." This invention relates to the registration of a first image to a second image, where the first image is undistorted to linear space before applying a geometric transformation matrix. This process allows for better alignment of images, reducing visual distortions such as wobbling in the fused image. Another significant patent is the "Image fusion processor circuit for dual-mode image fusion architecture." This invention describes an image processing circuit capable of performing image fusion in two modes: one for fusing demosaiced and downscaled image data, and another for fusing raw image data. The circuit enhances the efficiency of image processing by allowing for alpha-blending in a single pass.
Career Highlights
Kaiming Liu is currently employed at Apple Inc., where he continues to develop innovative solutions in image processing. His work at Apple has positioned him as a key player in advancing the company's technological capabilities in this area.
Collaborations
Liu has collaborated with notable colleagues, including Maxim W Smirnov and David R Pope, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Kaiming Liu's contributions to image processing technology through his patents and work at Apple Inc. highlight his role as a leading inventor in the field. His innovative approaches continue to influence advancements in image fusion techniques, making a significant impact on the industry.
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