Work

Image quality assessment: A sparse learning way

Year: 2015

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2015.01.066

Authors: Yuan Yuan, Qun Guo, Xiaoqiang Lu

Institutions: Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, State Key Laboratory of Transient Optics and Photonics

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Awards: 基于自适应字典学习的“数字合成X射线体层成像”重建算法研究, 多分辨率相机及图像超分辨率技术研究, 基于多模态概率主题模型的实体相关文本可视化

OpenAlex ID: W2007795666

FWCI: 6.888

Cites: 50

Cited by: 42

Related to: 10