Unsupervised colorization of black-and-white cartoons
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Active multispectral illumination and image fusion for retinal microsurgery
IPCAI'10 Proceedings of the First international conference on Information processing in computer-assisted interventions
Fast image and video colorization using chrominance blending
IEEE Transactions on Image Processing
Unified detection and tracking in retinal microsurgery
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
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It has been shown that excessive white light exposure during retinal microsurgery can induce retinal damage. To address this problem, one can illuminate the retina with a device that alternates between white, and less damaging limited-spectrum light. The surgeon is then presented with a fully colored video by recoloring the limited-spectrum light frames, using information from the white-light frames. To obtain accurately colored images, while reducing phototoxicity, we have developed a novel algorithm that monitors the quality of the recolored images and determines when white light may be substituted by limited-spectrum light. We show qualitatively and quantitatively that our system can provide reliable images using a significantly smaller light dose as compared to other state-of-the-art coloring schemes.