Bayesian Image Reconstruction Algorithm Based on a Novel Nonlocal Quadratic MRF Prior Model ( 1.Laboratory of Image Science and Technology,Department of Computer Science and Engineering,Southeast University,Nanjing,Jiangsu 210096,China; 2.Center of Medical Engineering Support,Chinese PLA General Hospital,Beijing 100853,China; 3.School of Biomedical Engineering,Southern Medical University,Guangzhou,Guangdong 510515,China)

Bayesian Image Reconstruction Algorithm Based on a Novel Nonlocal Quadratic MRF Prior Model ( 1.Laboratory of Image Science and Technology,Department of Computer Science and Engineering,Southeast University,Nanjing,Jiangsu 210096,China; 2.Center of Medical Engineering Support,Chinese PLA General Hospital,Beijing 100853,China; 3.School of Biomedical Engineering,Southern Medical University,Guangzhou,Guangdong 510515,China)

CHEN Yang;YAN Yong;WU Hao;LUO Li-min;CHEN Wu-fan

Acta Electronica Sinica ›› 2009, Vol. 37 ›› Issue (4) : 744-749.

PDF(586 KB)

PDF(586 KB)

Acta Electronica Sinica ›› 2009, Vol. 37 ›› Issue (4) : 744-749.

论文

Bayesian Image Reconstruction Algorithm Based on a Novel Nonlocal Quadratic MRF Prior Model ( 1.Laboratory of Image Science and Technology,Department of Computer Science and Engineering,Southeast University,Nanjing,Jiangsu 210096,China; 2.Center of Medical Engineering Support,Chinese PLA General Hospital,Beijing 100853,China; 3.School of Biomedical Engineering,Southern Medical University,Guangzhou,Guangdong 510515,China)

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2009, 37(4): 744-749

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}

{{article.copyrightLicense_en}}

PDF(586 KB)

Accesses

Citation

Detail

Sections

Recommended

/

〈

〉