Multi-scale multi-camera adaptive fusion with contrast normalization
AssigneeSRI International
InventorsChao Zhang, Peter Jeffrey Burt, Gooitzen Sieman van der Wal
Life of this patent
Estimating the term…
Loading patent…
AssigneeSRI International
InventorsChao Zhang, Peter Jeffrey Burt, Gooitzen Sieman van der Wal
Estimating the term…
A computer implemented method for fusing images taken by a plurality of cameras is disclosed, comprising the steps of: receiving a plurality of images of the same scene taken by the plurality of cameras; generating Laplacian pyramid images for each source image of the plurality of images; applying contrast normalization to the Laplacian pyramids images; performing pixel-level fusion on the Laplacian pyramid images based on a local salience measure that reduces aliasing artifacts to produce one salience-selected Laplacian pyramid image for each pyramid level; and combining the salience-selected Laplacian pyramid images into a fused image. Applying contrast normalization further comprises, for each Laplacian image at a given level: obtaining an energy image from the Laplacian image; determining a gain factor that is based on at least the energy image and a target contrast; and multiplying the Laplacian image by a gain factor to produce a normalized Laplacian image.
A computer implemented method for fusing images taken by a plurality of cameras, comprising the steps of:
An apparatus for fusing images taken by a plurality of cameras, comprising:
A non-transitory computer-readable medium carrying one or more sequences for fusing images taken by a plurality of cameras, wherein execution of the one of more sequences of instructions by one or more processors causes the one or more processors to perform the steps comprising:
Dependencies are inferred from the claim text.