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Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks
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Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks

Xianxu Hou
Guoping Qiu
ArXiv (abs)PDFHTML

Papers citing "Image Companding and Inverse Halftoning using Deep Convolutional Neural Networks"

8 / 8 papers shown
Title
Bit-depth color recovery via off-the-shelf super-resolution models
Bit-depth color recovery via off-the-shelf super-resolution models
Xuanshuo Fu
Danna Xue
Javier Vazquez-Corral
SupR
76
0
0
09 Jan 2025
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse Halftoning
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse Halftoning
Feiyu Li
Jun Yang
38
1
0
27 May 2023
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
Seonghyeon Nam
Abhijith Punnappurath
Marcus A. Brubaker
M. S. Brown
3DH
67
22
0
03 Jun 2022
A Little Bit More: Bitplane-Wise Bit-Depth Recovery
A Little Bit More: Bitplane-Wise Bit-Depth Recovery
Abhijith Punnappurath
M. S. Brown
MQ
69
19
0
03 May 2020
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization
Yang Zhang
Changhui Hu
Xiaobo Lu
GAN
49
1
0
07 Apr 2020
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Yu-Lun Liu
Wei-Sheng Lai
Yu-Sheng Chen
Yi-Lung Kao
Ming-Hsuan Yang
Yung-Yu Chuang
Jia-Bin Huang
117
234
0
02 Apr 2020
Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
Chang-Hwan Son
39
14
0
02 May 2019
TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with quality optimized using LWT and GA
TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with quality optimized using LWT and GA
B. Haghighi
A. Taherinia
A. Mohajerzadeh
14
4
0
07 Mar 2018

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