A structural coherence approach to full reference image quality assessment

被引:0
作者
Capodiferro, Licia [1 ]
Di Claudio, Elio D. [2 ]
Jacovitti, Giovanni [2 ]
Bordoni, Fondazione U.
机构
[1] Fdn Ugo Bordoni, Via Baldassarre Castiglione 59, I-00142 Rome, Italy
[2] Univ Roma La Sapienza, INFOCOM Dept, I-00184 Rome, Italy
来源
PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PATTERN RECOGNITION, AND APPLICATIONS | 2007年
关键词
image quality assessment; image coding; structural similarity; structural coherence;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this contribution a novel technique for objective full reference quality rating of degraded images using the paradigm of structural distortion measurement is presented. The method is based on the separate evaluation of the edge degradation and of the textural disturbances to measure the quality loss of a given image. Compared with other techniques, the method presents quite uniform behavior with respect to different image defects, responsiveness to image improvements, and diagnostic capabilities.
引用
收藏
页码:19 / +
页数:2
相关论文
共 50 条
[31]   Bridge the Gap Between Full-Reference and No-Reference: A Totally Full-Reference Induced Blind Image Quality Assessment via Deep Neural Networks [J].
Ma, Xiaoyu ;
Zhang, Suiyu ;
Liu, Chang ;
Yu, Dingguo .
CHINA COMMUNICATIONS, 2023, 20 (06) :215-228
[32]   RVSIM: a feature similarity method for full-reference image quality assessment [J].
Guangyi Yang ;
Deshi Li ;
Fan Lu ;
Yue Liao ;
Wen Yang .
EURASIP Journal on Image and Video Processing, 2018
[33]   Full-Reference Predictive Modeling of Subjective Image Quality Assessment with ANFIS [J].
El-Alfy, El-Sayed M. ;
Riaz, Mohammed Rehan .
AGENTS AND ARTIFICIAL INTELLIGENCE, ICAART 2014, 2015, 8946 :296-311
[34]   New Full Reference Image Quality Assessment Method based on Edge Intensity [J].
Ahmad, Tarik ;
Vurdu, Can Dogan ;
Rahebi, Javad .
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2018, 18 (03) :82-85
[35]   Deep hierarchical network for full-reference omnidirectional image quality assessment [J].
Zhang, Youzhi ;
Wan, Lifei ;
Chen, Yiren ;
Zhou, Xiaofei ;
Zhang, Xiaolin ;
Liu, Deyang .
MULTIMEDIA SYSTEMS, 2025, 31 (03)
[36]   Saliency-Guided Local Full-Reference Image Quality Assessment [J].
Varga, Domonkos .
SIGNALS, 2022, 3 (03) :483-496
[37]   Reduced-Reference Image Quality Assessment by Structural Similarity Estimation [J].
Rehman, Abdul ;
Wang, Zhou .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (08) :3378-3389
[38]   Full-Reference Image Quality Assessment with Linear Combination of Genetically Selected Quality Measures [J].
Oszust, Mariusz .
PLOS ONE, 2016, 11 (06)
[39]   Image quality evaluation of full reference algorithm [J].
He, Nannan ;
Xie, Kai ;
Li, Tong ;
Ye, Yushan .
MIPPR 2017: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2018, 10611
[40]   A No-Reference and Full-Reference image quality assessment and enhancement framework in real-time [J].
Zahi Al Chami ;
Chady Abou Jaoude ;
Richard Chbeir ;
Mahmoud Barhamgi ;
Mansour Naser Alraja .
Multimedia Tools and Applications, 2022, 81 :32491-32517