Joint image denoising using light-field data
ICME Workshops(2013)
摘要
In this paper we introduce a new framework for exploiting machine learning principles in the processing of light-field imagery, bypassing the explicit recovery of scene depth. As an application here, we jointly denoise all images within a light-field collection by taking into consideration the implications of scene structure on the raw image information. Our experimental results demonstrate significant performance improvement over the state-of-art single image denoising algorithms.
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关键词
light-field data,scene depth recovery,learning (artificial intelligence),light-field collection,light-field imagery processing,image denoising algorithms,image denoising,machine learning principles,scene structure,light-field,noise reduction,noise measurement,noise,light field,learning artificial intelligence
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