No-reference stereoscopic image quality assessment based on hue summation–difference mapping image and binocular joint mutual filtering-Reference-Cited by-同舟云学术

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No-reference stereoscopic image quality assessment based on hue summation–difference mapping image and binocular joint mutual filtering

Published:2018-05-09 Issue:14 Volume:57 Page:3915
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Yang Jiachen,Sim Kyohoon,Jiang Bin,Lu Wen

Funder

National Natural Science Foundation of China (NSFC)

Natural Science Foundation of Tianjin City

Joint Fund of pre-Research on Equipment from Education Department of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference44 articles.

1. Generation of photorealistic 3D image using optical digitizer

2. Real-time, high-accuracy 3D imaging and shape measurement

3. Realization of real-time interactive 3D image holographic display [Invited]

4. Image Quality Assessment: From Error Visibility to Structural Similarity

5. FSIM: A Feature Similarity Index for Image Quality Assessment

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1. Client-Oriented Blind Quality Metric for High Dynamic Range Stereoscopic Omnidirectional Vision Systems;Sensors;2022-11-04

2. Blind stereoscopic image quality assessment using 3D saliency selected binocular perception and 3D convolutional neural network;Multimedia Tools and Applications;2022-03-09

3. No-reference stereoscopic image quality evaluator based on human visual characteristics and relative gradient orientation;Journal of Visual Communication and Image Representation;2021-11

4. Viewport Perception Based Blind Stereoscopic Omnidirectional Image Quality Assessment;IEEE Transactions on Circuits and Systems for Video Technology;2021-10

5. No-reference stereoscopic image quality assessment using 3D visual saliency maps fused with three-channel convolutional neural network;Signal, Image and Video Processing;2021-07-29

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