An efficient approach for no-reference image quality assessment based on statistical texture and structural features

Author:

Rajevenceltha J.,Gaidhane Vilas H.ORCID

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference40 articles.

1. Review of medical image quality assessment;Chow;Biomed. Signal Process. Control.,2016

2. A review of usability and security evaluation model of ecommerce website;bt Mohd;Proc. Comput. Sci.,2019

3. Deep learning for pixel-level image fusion: Recent advances and future prospects;Liu;Inform. Fusion,2018

4. Remote sensing platforms and sensors: A survey;C. Tothand G. J' o'zk'ow;ISPRS J. Photogrammetry Remote Sens.,2016

5. Advancements in medium and high resolution earth observation for land-surface imaging: Evolutions, future trends and contributions to sustainable development;Ouma;Adv. Space Res.,2016

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An effective no-reference image quality index prediction with a hybrid Artificial Intelligence approach for denoised MRI images;BMC Medical Imaging;2024-08-12

2. Exploiting image quality measure for automatic trajectory generation in robot-aided visual quality inspection;The International Journal of Advanced Manufacturing Technology;2024-04-26

3. A no-reference image quality assessment model based on neighborhood component analysis and Gaussian process;Journal of Visual Communication and Image Representation;2024-02

4. Dynamic Reasoning Network for Image-Level Supervised Segmentation on Metal Surface Defect;IEEE Transactions on Instrumentation and Measurement;2024

5. Image Quality Assessment of Breast Cancer with Various Modalities;2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom);2023-12-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3