Gradient-Guided Residual Learning for Inverse Halftoning and Image Expanding
Inverse halftoning and image expanding refer to problems to restore the pixel values of images from compressed images of smaller bit depth. Since these two problems are ill-posed, there are few perfect solutions. Recently, deep convolutional neural networks (DCNN) have shown their powerful ability i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8908755/ |