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Perceptual Learned Image Compression via End-to-End JND-Based Optimization

Perceptual Learned Image Compression via End-to-End JND-Based Optimization

Farhad Pakdaman
Sanaz Nami
Moncef Gabbouj
ArXiv (abs)PDFHTML

Papers citing "Perceptual Learned Image Compression via End-to-End JND-Based Optimization"

3 / 3 papers shown
Title
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression
M. Yilmaz
Onur Keleş
Hilal Güven
A. Murat Tekalp
Junaid Malik
S. Kiranyaz
DRL
53
15
0
25 May 2021
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint
Fabien Racapé
Simon Feltman
Akshay Pushparaja
VLM
63
427
0
05 Nov 2020
End-to-end optimization of nonlinear transform codes for perceptual quality
End-to-end optimization of nonlinear transform codes for perceptual quality
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
121
246
0
18 Jul 2016

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