Image demosaicing

US9344690B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9344690-B2
Application numberUS-201414163851-A
CountryUS
Kind codeB2
Filing dateJan 24, 2014
Priority dateJan 24, 2014
Publication dateMay 17, 2016
Grant dateMay 17, 2016

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Abstract

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Image demosaicing is described, for example, to enable raw image sensor data, where image elements have intensity values in only one of three color channels, to be converted into a color image where image elements have intensity values in three color channels. In various embodiments a trained machine learning component is used to carry out demosaicing optionally in combination with denoising. In some examples the trained machine learning system comprises a cascade of trained regression tree fields. In some examples the machine learning component has been trained using pairs of mosaiced and demosaiced images where the demosaiced images have been obtained by downscaling natural color digital images. For example, the mosaiced images are obtained from the demosaiced images by subsampling according to one of a variety of color filter array patterns.

First claim

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The invention claimed is: 1. A method of image demosaicing comprising: receiving a digital mosaiced image; calculating a demosaiced image from the received image using a trained machine learning system, the demosaiced image being in a linear light-space of a color image processing pipeline, the trained machine learning system having been trained using pairs of mosaiced and demosaiced images, at least one of the pairs comprising at least one of: the mosaiced images having been f…

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What does patent US9344690B2 cover?
Image demosaicing is described, for example, to enable raw image sensor data, where image elements have intensity values in only one of three color channels, to be converted into a color image where image elements have intensity values in three color channels. In various embodiments a trained machine learning component is used to carry out demosaicing optionally in combination with denoising. I…
Who is the assignee on this patent?
Microsoft Corp, Microsoft Technology Licensing Llc
What technology area does this patent fall under?
Primary CPC classification G06T3/4015. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 17 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).