• wdxzyf999
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  • matlab
    开发工具
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  • 2020-11-07 20:49
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考虑量化效应的基于能量减少的JNQD模型用于HECV压缩
JNQD-master.zip
  • JNQD-master
  • CNN-JNQD_trained_wieghts
  • CNN_JNQD_27_3_64_14_3_128_10^(-2)
  • net-epoch-300.mat
    440.8KB
  • CNN_JNQD_22_3_64_14_3_128_10^(-2)
  • net-epoch-300.mat
    441.3KB
  • CNN_JNQD_37_3_64_14_3_128_10^(-2)
  • net-epoch-300.mat
    441.1KB
  • CNN_JNQD_32_3_64_14_3_128_10^(-2)
  • net-epoch-300.mat
    440KB
  • setup.m
    1.3KB
  • SCI_fast.m
    1.2KB
  • addCustomLossLayer.m
    772B
  • yuv_load.m
    694B
  • .gitattributes
    66B
  • CNN_JNQD_training.m
    2.2KB
  • l2LossForward.m
    132B
  • LR_JNQD.m
    5.3KB
  • spatial_freq.mat
    2.4KB
  • All_test_feature.m
    17.1KB
  • matconvnet.zip
    2.5MB
  • generate_imdb.m
    562B
  • l2LossBackward.m
    122B
  • generate_img_data.m
    2.2KB
  • initializeCNN_SR_multi.m
    1.5KB
  • matlab.zip
    1.6MB
  • README.md
    521B
  • yuv_save.m
    533B
  • block_ERJND.m
    197B
  • CNN_JNQD_test.m
    2.2KB
  • xavier.m
    666B
  • gradient_offset_weight_qp_intra.mat
    4.6KB
内容介绍
# 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 paper: https://drive.google.com/open?id=1JYxLX95PZvcEqrdW6jk72MaztBQ9foBc ppt: https://drive.google.com/open?id=1i6Srz8Y06gokMB6a6YuF7pp20sot8TLH This is the official LR-JNQD and CNN-JNQD train&test code using Matlab and Matconvnet Main Author - Sehwan Ki - email: shki@kaist.ac.kr - homepage: https://sites.google.com/site/sehwanki1004/home
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