Perceptually Quasi-Lossless Compression of Screen Content Data Via Visibility Modeling and Deep Forecasting-Reference-Cited by-同舟云学术

Perceptually Quasi-Lossless Compression of Screen Content Data Via Visibility Modeling and Deep Forecasting

Published:2022-10 Issue:10 Volume:18 Page:6865-6875
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Wang Miaohui¹^ORCID,Xu Zhuowei²^ORCID,Liu Xueqin²,Xiong Jian³,Xie Wuyuan⁴^ORCID

Affiliation:

1. College of Electronics and Information Engineering and also with the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, P. R. China

2. College of Information and Electronics Engineering, Shenzhen University, Shenzhen, China

3. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

4. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shenzhen City

Natural Science Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9828547/09669109.pdf?arnumber=9669109

Reference40 articles.

1. Learning Deconvolution Network for Semantic Segmentation

2. Asymmetric Foveated Just-Noticeable-Difference Model for Images With Visual Field Inhomogeneities

3. Measure and Prediction of HEVC Perceptually Lossy/Lossless Boundary QP Values

4. Digital Video Image Quality and Perceptual Coding

5. Practical Full Resolution Learned Lossless Image Compression

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