Handling outliers in non-blind image deconvolution

Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear convolution of the latent image and the blur kernel. This assumption often does not hold in practice due to various types...

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Bibliographische Detailangaben

Hauptverfasser:	Sunghyun Cho, Jue Wang, Seungyong Lee
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cameras Deconvolution Dynamic range Image edge detection Image restoration Kernel Noise
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