Search Results for author: Jian Jin

Found 11 papers, 2 papers with code

The First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences

no code implementations5 Mar 2023 Yaxuan Liu, Jian Jin, Yuan Xue, Weisi Lin

To benefit JND modeling, this work establishes a generalized JND dataset with a coarse-to-fine JND selection, which contains 106 source images and 1, 642 JND maps, covering 25 distortion types.

Image Quality Assessment Video Compression

JND-Based Perceptual Optimization For Learned Image Compression

no code implementations25 Feb 2023 Feng Ding, Jian Jin, Lili Meng, Weisi Lin

After combining them together, we can better assign the distortion in the compressed image with the guidance of JND to preserve the high perceptual quality.

Image Compression MS-SSIM +2

HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation

1 code implementation16 Aug 2022 Jian Jin, Yuan Xue, Xingxing Zhang, Lili Meng, Yao Zhao, Weisi Lin

However, they have a major drawback that the generated JND is assessed in the real-world signal domain instead of in the perceptual domain in the human brain.

Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation

no code implementations17 Jun 2022 Wen Sun, Jian Jin, Weisi Lin

To achieve this, an adversarial loss is firstly proposed to make the deep learning models attacked by the adversarial images successfully.

Face Recognition Image Classification +3

Full RGB Just Noticeable Difference (JND) Modelling

no code implementations1 Mar 2022 Jian Jin, Dong Yu, Weisi Lin, Lili Meng, Hao Wang, Huaxiang Zhang

Besides, the JND of the red and blue channels are larger than that of the green one according to the experimental results of the proposed model, which demonstrates that more changes can be tolerated in the red and blue channels, in line with the well-known fact that the human visual system is more sensitive to the green channel in comparison with the red and blue ones.

Image Quality Assessment

Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding

no code implementations7 Jan 2022 Jian Jin, Xingxing Zhang, Lili Meng, Weisi Lin, Jie Liang, Huaxiang Zhang, Yao Zhao

Experimental results show that the VSD can be accurately estimated with the weights learnt by the nonlinear mapping function once its associated S-VSDs are available.

A New Image Codec Paradigm for Human and Machine Uses

no code implementations19 Dec 2021 Sien Chen, Jian Jin, Lili Meng, Weisi Lin, Zhuo Chen, Tsui-Shan Chang, Zhengguang Li, Huaxiang Zhang

Meanwhile, an image predictor is designed and trained to achieve the general-quality image reconstruction with the 16-bit gray-scale profile and signal features.

Decision Making Image Compression +7

Just Noticeable Difference for Deep Machine Vision

no code implementations16 Feb 2021 Jian Jin, Xingxing Zhang, Xin Fu, huan zhang, Weisi Lin, Jian Lou, Yao Zhao

Experimental results on image classification demonstrate that we successfully find the JND for deep machine vision.

Image Classification Neural Network Security +1

A C++ library for Multimodal Deep Learning

no code implementations22 Dec 2015 Jian Jin

MDL, Multimodal Deep Learning Library, is a deep learning framework that supports multiple models, and this document explains its philosophy and functionality.

Multimodal Deep Learning Philosophy

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