New Stereoscopic Image Quality Assessment Metric Based on Three Dimensional-discrete Cosine Transform for 3d Media

Three Dimensional ◽

Stereoscopic Image ◽

Cosine Transform

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

Reduced-Reference Image Quality Assessment Based on Discrete Cosine Transform Entropy

10.1587/transfun.e98.a.2642 ◽

2015 ◽

Vol E98.A (12) ◽

pp. 2642-2649 ◽

Cited By ~ 3

Author(s):

Yazhong ZHANG ◽

Jinjian WU ◽

Guangming SHI ◽

Xuemei XIE ◽

Yi NIU ◽

...

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Reference Image ◽

Cosine Transform

Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform

Multimedia Tools and Applications ◽

10.1007/s11042-020-09229-2 ◽

2020 ◽

Vol 79 (35-36) ◽

pp. 26285-26304 ◽

Author(s):

Imran Fareed Nizami ◽

Mobeen ur Rehman ◽

Muhammad Majid ◽

Syed Muhammad Anwar

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Reference Image ◽

Natural Scene ◽

Natural Scene Statistics ◽

Cosine Transform ◽

Model Independent

Intelligent reorganized discrete cosine transform for reduced reference image quality assessment

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-1511-75 ◽

2017 ◽

Vol 25 ◽

pp. 2660-2673 ◽

Author(s):

Tariq BASHIR ◽

Imran USMAN ◽

Shahnawaz KHAN ◽

Junaid ur REHMAN

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Reference Image ◽

Cosine Transform

No-reference image quality assessment based on localized discrete cosine transform for JPEG compressed images

Multimedia Tools and Applications ◽

10.1007/s11042-016-4246-9 ◽

2017 ◽

Vol 77 (1) ◽

pp. 787-803 ◽

Cited By ~ 2

Author(s):

Sekineh Asadi Amiri ◽

Hamid Hassanpour ◽

Omid Reza Marouzi

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Reference Image ◽

Cosine Transform ◽

Compressed Images

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) ◽

No-Reference Stereoscopic Image Quality Assessment Considering Multi-loss Constraints

10.1109/vcip49819.2020.9301832 ◽

2020 ◽

Author(s):

Yongtian Han ◽

Sumei Li ◽

Guanghui Yue ◽

Yongli Chang

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Sparsity based stereoscopic image quality assessment

2016 50th Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2016.7869706 ◽

2016 ◽

Author(s):

Md Sameeulla Khan ◽

Sumohana S. Channappayya

Keyword(s):

Image Quality ◽

Quality Assessment ◽

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) ◽

Stereoscopic Image Quality Assessment Based on Cyclopean Image

10.1109/dasc-picom-datacom-cyberscitec.2016.169 ◽

2016 ◽

Author(s):

Kaixuan Lu ◽

Wei Zhu

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Complex singular value decomposition based stereoscopic image quality assessment

2016 Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip.2016.7805497 ◽

2016 ◽

Cited By ~ 2

Author(s):

Xu Wang ◽

Lei Cao ◽

Lin Ma ◽

Yu Zhou ◽

Sam Kwong

Keyword(s):

Image Quality ◽

Singular Value Decomposition ◽

Quality Assessment ◽

Singular Value ◽

Stereoscopic Image ◽

Value Decomposition

A perceptual metric for stereoscopic image quality assessment based on the binocular energy

Multidimensional Systems and Signal Processing ◽

10.1007/s11045-012-0178-3 ◽

2012 ◽

Vol 24 (2) ◽

pp. 281-316 ◽

Cited By ~ 92

Author(s):

Rafik Bensalma ◽

Mohamed-Chaker Larabi

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Advanced Topics in Science and Technology in China - Stereoscopic Image Quality Assessment ◽

Stereoscopic Image Quality Assessment Based on Human Visual System Properties

10.1007/978-981-15-7764-2_6 ◽

2020 ◽

pp. 97-133

Author(s):

Yong Ding ◽

Guangming Sun

Keyword(s):

Image Quality ◽

Visual System ◽

Quality Assessment ◽

Human Visual System ◽

Stereoscopic Image ◽

System Properties