Predicting visual difference maps for computer‐generated images by integrating human visual system model and deep learning-Reference-Cited by-同舟云学术

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Predicting visual difference maps for computer‐generated images by integrating human visual system model and deep learning

Published:2022-11-25 Issue:3 Volume:17 Page:901-915
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Li Ling¹^ORCID,Chen Chunyi¹,Peng Jun¹,Zhang Ripei¹

Affiliation:

1. School of Computer Science and Technology Changchun University of Science and Technology Changchun China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12681

Reference51 articles.

1. Perceptual Error Optimization for Monte Carlo Rendering

2. Dataset and Metrics for Predicting Local Visible Differences

3. Ye N. Wolski K. Mantiuk R.K.:Predicting visible image differences under varying display brightness and viewing distance. In:Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp.5434–5442(2019)

4. HDR-VDP-2

5. The visible differences predictor: An algorithm for the assessment of image fidelity;Daly S.;Digital Images and Human Vision, pp.,1993

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