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FrustratedWithFormsDesigner
FrustratedWithFormsDesigner
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Which CVComputer Vision / Image Processing technique would solve light imbalance in images?

shopping /off (http://blog.stackoverflow.com/2010/11/qa-is-hard-lets-go-shopping/)
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gnat
gnat
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Given a colour image whose light intensity is dim at the edges and bright in the middle, such as [dim bright dim], which computer vision technique would be recommended to correct this imbalance?

While I believe Histogram Equalisation could help, I've read that it also introduces an unrealistic look to an image by exaggerating the blue channel.

If you know of a suitable method (or methods) I'd appreciate some recommended resources / articles which can help me go about to implementI consider implementing an image processor for this task.

Given a colour image whose light intensity is dim at the edges and bright in the middle, such as [dim bright dim], which computer vision technique would be recommended to correct this imbalance?

While I believe Histogram Equalisation could help, I've read that it also introduces an unrealistic look to an image by exaggerating the blue channel.

If you know of a suitable method (or methods) I'd appreciate some recommended resources / articles which can help me go about to implement an image processor for this task.

Given a colour image whose light intensity is dim at the edges and bright in the middle, such as [dim bright dim], which computer vision technique would be recommended to correct this imbalance?

While I believe Histogram Equalisation could help, I've read that it also introduces an unrealistic look to an image by exaggerating the blue channel.

I consider implementing an image processor for this task.

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BlackBox
BlackBox
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Which CV technique would solve light imbalance in images?

Given a colour image whose light intensity is dim at the edges and bright in the middle, such as [dim bright dim], which computer vision technique would be recommended to correct this imbalance?

While I believe Histogram Equalisation could help, I've read that it also introduces an unrealistic look to an image by exaggerating the blue channel.

If you know of a suitable method (or methods) I'd appreciate some recommended resources / articles which can help me go about to implement an image processor for this task.