Multilevel Edge Features Guided Network for Image Denoising

Image denoising is a challenging inverse problem due to complex scenes and information loss. Recently, various methods have been considered to solve this problem by building a well-designed convolutional neural network (CNN) or introducing some hand-designed image priors. Different from previous wor...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2021-09, Vol.32 (9), p.3956-3970
Hauptverfasser:	Fang, Faming, Li, Juncheng, Yuan, Yiting, Zeng, Tieyong, Zhang, Guixu
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Artificial neural networks Detectors Edge detection Edge guidance edge reconstruction network (Edge-Net) Feature extraction Image denoising Image edge detection Image reconstruction Inverse problems Learning systems Multilevel Neural networks Noise measurement Noise reduction
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