JNQD

"Learning-based Just-noticeable-quantization-distortion Model for perceptual video coding", TIP 2018

Author: Sehwan Ki, Sung-Ho Bae, Munchurl Kim and Hyunshuk Ko

This is the official LR-JNQD and CNN-JNQD train&test code using Matlab and Matconvnet

Main Author

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
CNN-JNQD_trained_wieghts		CNN-JNQD_trained_wieghts
enc_file		enc_file
.gitattributes		.gitattributes
All_test_feature.m		All_test_feature.m
CNN_JNQD_test.m		CNN_JNQD_test.m
CNN_JNQD_training.m		CNN_JNQD_training.m
LR_JNQD.m		LR_JNQD.m
README.md		README.md
SCI_fast.m		SCI_fast.m
addCustomLossLayer.m		addCustomLossLayer.m
block_ERJND.m		block_ERJND.m
generate_imdb.m		generate_imdb.m
generate_img_data.m		generate_img_data.m
gradient_offset_weight_qp_intra.mat		gradient_offset_weight_qp_intra.mat
initializeCNN_SR_multi.m		initializeCNN_SR_multi.m
l2LossBackward.m		l2LossBackward.m
l2LossForward.m		l2LossForward.m
matconvnet.zip		matconvnet.zip
matlab.zip		matlab.zip
setup.m		setup.m
spatial_freq.mat		spatial_freq.mat
xavier.m		xavier.m
yuv_load.m		yuv_load.m
yuv_save.m		yuv_save.m

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