Eveleigh, Australia

Lawrence Mutimbu


 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: The Innovations of Lawrence Mutimbu

Introduction

Lawrence Mutimbu is an accomplished inventor based in Eveleigh, Australia. He has made significant contributions to the field of image processing, particularly in the area of illumination estimation for hyperspectral and multispectral images. His innovative approach has garnered attention in the research community.

Latest Patents

One of Lawrence Mutimbu's notable patents is titled "Pixel wise illuminant estimation." This patent focuses on estimating the illumination spectrum of a pixel within hyperspectral or multispectral image data. The technology involves a processor that determines an optimized illumination spectrum for a specific point based on an initial illumination spectrum. It utilizes associations between the first point and multiple second points from various instances of the image data. This method allows for the determination of the illumination spectrum per pixel without the need for clustering pixels or making restrictive assumptions. Instead, it leverages statistical inference based on the associations to achieve accurate results. Lawrence holds 1 patent in this domain.

Career Highlights

Lawrence Mutimbu is currently employed at National ICT Australia Limited, where he continues to advance his research and development efforts. His work has been instrumental in enhancing the capabilities of image processing technologies, making significant strides in the field.

Collaborations

Lawrence collaborates with various professionals in his field, including his coworker Antonio Robles-Kelly. Their combined expertise contributes to the innovative projects at National ICT Australia Limited.

Conclusion

Lawrence Mutimbu's contributions to the field of image processing through his patent on pixel-wise illuminant estimation highlight his innovative spirit and dedication to advancing technology. His work continues to influence the way illumination is estimated in complex image data, showcasing the importance of his research in the industry.

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