Innopeak Technology, Inc.

Kim C Ng

Chiuman Ho

Jinglin Shen

Jinsong Liao

A method for image fusion includes the following. One or more geometric characteristics of the NIR image and the RGB image are normalized. The normalized NIR image and the normalized RGB image are converted to a first NIR image and a first RGB image in a radiance domain, respectively. The first NIR image is decomposed to an NIR base portion and an NIR detail portion, and the first RGB image is decomposed to an RGB base portion and an RGB detail portion. The NIR base portion, RGB base portion, NIR detail portion and RGB detail portion are combined using a set of weights. A resulting weighted combination of these base and detail portions is converted from the radiance domain to a fused image in an image domain.

Systems and methods for fusing color image and near-infrared image

This disclosure is directed to image fusion. A computer system obtains a near infrared (NIR) image and an RGB image of a scene. A first NIR image layer is generated from the NIR image. A first RGB image layer and a second RGB image layer are generated from the RGB image. The first NIR image layer and first RGB image layer have a first resolution. A depth map is also generated and has the first resolution. Each pixel of the first NIR image layer and a corresponding pixel of the first RGB image layer are combined based on a respective weight to generate a first combined image layer used to reconstruct a fused image. For each pair of pixels of the first NIR and RGB layers, the respective weight is determined based on a depth value of a respective pixel of the depth map and a predefined cutoff depth.

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Palo Alto, CA, United States of America

Kim C Ng