Deblurring Images via Dark Channel Prior

We present an effective blind image deblurring algorithm based on the dark channel prior. The motivation of this work is an interesting observation that the dark channel of blurred images is less sparse. While most patches in a clean image contain some dark pixels, this is not the case when they are...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 40; H. 10; S. 2315 - 2328
Hauptverfasser:	Pan, Jinshan, Sun, Deqing, Pfister, Hanspeter, Yang, Ming-Hsuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Convolution dark channel prior Face Image deblurring Image edge detection Image restoration Kernel linear approximation non-uniform deblurring Optimization Pixels Sparsity
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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