Face Hallucination From New Perspective of Non-Linear Learning Compressed Sensing

Face Hallucination From New Perspective of Non-Linear Learning Compressed Sensing

The past decade has witnessed a prosperity of sparsity-inspired face hallucination methods that use sparse prior and instances to generate High-Resolution (HR) faces. However, they need numerous Low-Resolution (LR) and HR instance pairs and adopt approximate sparse coding, which will bring bias to t...

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Bibliographic Details
Main Authors: Shuyuan Yang, Xiaoyang Hao, Zhi Liu, Chen Yang, Min Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Face hallucination
nonlinear sparse coding
non-linear learning compressed sensing
deep autoencoder
Online Access:https://ieeexplore.ieee.org/document/8946533/

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