Bitstream-corrupted JPEG images are restorable: two-stage compensation and alignment framework for image restoration
In this paper, we study a real-world JPEG image restoration problem with bit errors on the encrypted bitstream. The bit errors bring unpredictable color casts and block shifts on decoded image contents, which cannot be resolved by existing image restoration methods mainly relying on pre-defined degr...
Saved in:
Main Authors: | Liu, Wenyang, Wang, Yi, Yap, Kim-Hui, Chau, Lap-Pui |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173559 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Bitstream-corrupted video recovery: a novel benchmark dataset and method
by: Liu, Tianyi, et al.
Published: (2024) -
Restoring blood vessel patterns and tattoos from JPEG compressed skin images for forensic analysis
by: Li, Xiaojie
Published: (2018) -
Efficient cascaded multiscale adaptive network for image restoration
by: ZHOU, Yichen, et al.
Published: (2024) -
Deep disentangling learning for real-world image enlightening and restoration
by: Chan, Yi Xuan
Published: (2022) -
Efficient cascaded multiscale adaptive network for image restoration
by: ZHOU, Yichen, et al.
Published: (2024)