Invertible Grayscale via Dual Features Ensemble
Grayscale image colorization is known as an ill-posed problem because of the imbalanced matching between intensity and color values. Even given prior hints about the original color image, existing colorization methods cannot recover the original color image from grayscale faithfully. In this paper,...
Main Authors: | Taizhong Ye, Yong Du, Junjie Deng, Shengfeng He |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9091800/ |
Similar Items
-
Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network
by: Hongmei Li, et al.
Published: (2019-04-01) -
Ensemble feature learning for material recognition with convolutional neural networks
by: Peng Bian, et al.
Published: (2018-07-01) -
Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition
by: Hammam Alshazly, et al.
Published: (2019-09-01) -
Framework for the Ensemble of Feature Selection Methods
by: Maritza Mera-Gaona, et al.
Published: (2021-09-01) -
Village Building Identification Based on Ensemble Convolutional Neural Networks
by: Zhiling Guo, et al.
Published: (2017-10-01)