Peak signal-to-noise ratio (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Peak signal-to-noise ratio" in English language version.

refsWebsite

Global rank English rank

4doi.org

2^nd place

3worldcat.org

5^th place

3books.google.com

3^rd place

2harvard.edu

18^th place

17^th place

1youlink.org

low place

1sourceforge.net

1,669^th place

1,290^th place

1semanticscholar.org

11^th place

8^th place

1ieee.org

652^nd place

515^th place

1ponomarenko.info

low place

books.google.com (Global: 3^rd place; English: 3^rd place)

Welstead, Stephen T. (1999). Fractal and wavelet image compression techniques. SPIE Publication. pp. 155–156. ISBN 978-0-8194-3503-3.
Raouf Hamzaoui, Dietmar Saupe (May 2006). Barni, Mauro (ed.). Fractal Image Compression. Vol. 968. CRC Press. pp. 168–169. ISBN 9780849335563. Retrieved 5 April 2011. {{cite book}}: |journal= ignored (help)
Salomon, David (2007). Data Compression: The Complete Reference (4 ed.). Springer. p. 281. ISBN 978-1846286025. Retrieved 26 July 2012.

doi.org (Global: 2^nd place; English: 2^nd place)

Faragallah, Osama S.; El-Hoseny, Heba; El-Shafai, Walid; El-Rahman, Wael Abd; El-Sayed, Hala S.; El-Rabaie, El-Sayed M.; El-Samie, Fathi E. Abd; Geweid, Gamal G. N. (2021). "A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions". IEEE Access. 9: 11358–11371. Bibcode:2021IEEEA...911358F. doi:10.1109/ACCESS.2020.3048315. ISSN 2169-3536. This paper presents a survey study of medical imaging modalities and their characteristics. In addition, different medical image fusion approaches and their appropriate quality metrics are presented.
Chervyakov, Nikolay; Lyakhov, Pavel; Nagornov, Nikolay (2020-02-11). "Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging". Applied Sciences. 10 (4): 1223. doi:10.3390/app10041223. ISSN 2076-3417. The image processing quality is considered high if PSNR value is greater than 60 dB for images with 12 bits per color.
Huynh-Thu, Q.; Ghanbari, M. (2008). "Scope of validity of PSNR in image/video quality assessment". Electronics Letters. 44 (13): 800. Bibcode:2008ElL....44..800H. doi:10.1049/el:20080522.
Huynh-Thu, Quan; Ghanbari, Mohammed (2012-01-01). "The accuracy of PSNR in predicting video quality for different video scenes and frame rates". Telecommunication Systems. 49 (1): 35–48. doi:10.1007/s11235-010-9351-x. ISSN 1018-4864. S2CID 43713764.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Faragallah, Osama S.; El-Hoseny, Heba; El-Shafai, Walid; El-Rahman, Wael Abd; El-Sayed, Hala S.; El-Rabaie, El-Sayed M.; El-Samie, Fathi E. Abd; Geweid, Gamal G. N. (2021). "A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions". IEEE Access. 9: 11358–11371. Bibcode:2021IEEEA...911358F. doi:10.1109/ACCESS.2020.3048315. ISSN 2169-3536. This paper presents a survey study of medical imaging modalities and their characteristics. In addition, different medical image fusion approaches and their appropriate quality metrics are presented.
Huynh-Thu, Q.; Ghanbari, M. (2008). "Scope of validity of PSNR in image/video quality assessment". Electronics Letters. 44 (13): 800. Bibcode:2008ElL....44..800H. doi:10.1049/el:20080522.

ieee.org (Global: 652^nd place; English: 515^th place)

ieeexplore.ieee.org

Ponomarenko, N.; Ieremeiev, O.; Lukin, V.; Egiazarian, K.; Carli, M. (February 2011). "Modified image visual quality metrics for contrast change and mean shift accounting". 2011 11th International Conference the Experience of Designing and Application of CAD Systems in Microelectronics (CADSM): 305–311.

ponomarenko.info (Global: low place; English: low place)

Nikolay Ponomarenko; Flavia Silvestri; Karen Egiazarian; Marco Carli; Jaakko Astola; Vladimir Lukin, "On between-coefficient contrast masking of DCT basis functions" (PDF), CD-ROM Proceedings of the Third International Workshop on Video Processing and Quality Metrics for Consumer Electronics VPQM-07, 25.–26. Januar 2007 (in German), Scottsdale AZ

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Huynh-Thu, Quan; Ghanbari, Mohammed (2012-01-01). "The accuracy of PSNR in predicting video quality for different video scenes and frame rates". Telecommunication Systems. 49 (1): 35–48. doi:10.1007/s11235-010-9351-x. ISSN 1018-4864. S2CID 43713764.

sourceforge.net (Global: 1,669^th place; English: 1,290^th place)

netpbm.sourceforge.net

"pnmpsnr User Manual". Retrieved 6 April 2011.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Faragallah, Osama S.; El-Hoseny, Heba; El-Shafai, Walid; El-Rahman, Wael Abd; El-Sayed, Hala S.; El-Rabaie, El-Sayed M.; El-Samie, Fathi E. Abd; Geweid, Gamal G. N. (2021). "A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions". IEEE Access. 9: 11358–11371. Bibcode:2021IEEEA...911358F. doi:10.1109/ACCESS.2020.3048315. ISSN 2169-3536. This paper presents a survey study of medical imaging modalities and their characteristics. In addition, different medical image fusion approaches and their appropriate quality metrics are presented.
Chervyakov, Nikolay; Lyakhov, Pavel; Nagornov, Nikolay (2020-02-11). "Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging". Applied Sciences. 10 (4): 1223. doi:10.3390/app10041223. ISSN 2076-3417. The image processing quality is considered high if PSNR value is greater than 60 dB for images with 12 bits per color.
Huynh-Thu, Quan; Ghanbari, Mohammed (2012-01-01). "The accuracy of PSNR in predicting video quality for different video scenes and frame rates". Telecommunication Systems. 49 (1): 35–48. doi:10.1007/s11235-010-9351-x. ISSN 1018-4864. S2CID 43713764.

youlink.org (Global: low place; English: low place)

qpsnr.youlink.org

Oriani, Emanuele. "qpsnr: A quick PSNR/SSIM analyzer for Linux". Retrieved 6 April 2011.

Peak signal-to-noise ratio (English Wikipedia)

books.google.com (Global: 3rd place; English: 3rd place)

doi.org (Global: 2nd place; English: 2nd place)

harvard.edu (Global: 18th place; English: 17th place)