激光与光电子学进展, 2019, 56 (18): 181006, 网络出版: 2019-09-09   

四元数小波变换优化单目图的无参考立体图像质量评价 下载: 966次

No-Reference Stereo Image Quality Assessment of Cyclopean Images Optimized Using Quaternion Wavelet Transform
作者单位
1 江南大学物联网工程学院, 江苏 无锡 214166
2 上海海事大学物流科学与工程研究院, 上海 200135
引用该论文

李一凡, 李朝锋, 桑庆兵. 四元数小波变换优化单目图的无参考立体图像质量评价[J]. 激光与光电子学进展, 2019, 56(18): 181006.

Yifan Li, Chaofeng Li, Qingbing Sang. No-Reference Stereo Image Quality Assessment of Cyclopean Images Optimized Using Quaternion Wavelet Transform[J]. Laser & Optoelectronics Progress, 2019, 56(18): 181006.

参考文献

[1] 赵文哲, 秦世引. 图像质量评价的研究进展和若干问题的解决途径[J]. 激光与光电子学进展, 2010, 47(4): 041002.

    Zhao W Z, Qin S Y. Image quality assessment and some solving approaches to current issues[J]. Laser & Optoelectronics Progress, 2010, 47(4): 041002.

[2] 侯春萍, 林洪湖. 基于小波变换与结构特征的立体图像质量评价[J]. 激光与光电子学进展, 2018, 55(6): 061005.

    Hou C P, Lin H H. Stereoscopic image quality assessment based on wavelet transform and structure characteristics[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061005.

[3] Chen M J, Su C C, Kwon D K, et al. Full-reference quality assessment of stereopairs accounting for rivalry[J]. Signal Processing: Image Communication, 2013, 28(9): 1143-1155.

[4] Chen M J, Cormack L K, Bovik A C. No-reference quality assessment of natural stereopairs[J]. IEEE Transactions on Image Processing, 2013, 22(9): 3379-3391.

[5] Shao F, Lin W S, Gu S B, et al. Perceptual full-reference quality assessment of stereoscopic images by considering binocular visual characteristics[J]. IEEE Transactions on Image Processing, 2013, 22(5): 1940-1953.

[6] Su C C, Cormack L K, Bovik A C. Oriented correlation models of distorted natural images with application to natural stereopair quality evaluation[J]. IEEE Transactions on Image Processing, 2015, 24(5): 1685-1699.

[7] Appina B, Khan S, Channappayya S S. No-reference stereoscopic image quality assessment using natural scene statistics[J]. Signal Processing: Image Communication, 2016, 43: 1-14.

[8] Zhang W, Qu C F, Ma L, et al. Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural network[J]. Pattern Recognition, 2016, 59: 176-187.

[9] Zhou W J, Yu L, Qiu W W, et al. Utilizing binocular vision to facilitate completely blind 3D image quality measurement[J]. Signal Processing, 2016, 129: 130-136.

[10] 薛小波, 郁梅, 何美伶. 基于仿视觉细胞模型的立体图像质量评价方法[J]. 激光与光电子学进展, 2016, 53(4): 041004.

    Xue X B, Yu M, He M L. Stereoscopic image-quality-assessment method based on visual cell model[J]. Laser & Optoelectronics Progress, 2016, 53(4): 041004.

[11] 岳靖, 刘国军, 付浩. 四元数谱余量彩色图像质量评价[J]. 激光与光电子学进展, 2019, 56(3): 031009.

    Yue J, Liu G J, Fu H. Color image quality assessment based on quaternion spectral residual[J]. Laser & Optoelectronics Progress, 2019, 56(3): 031009.

[12] Chan W L, Choi H, Baraniuk R G. Coherent multiscale image processing using dual-tree quaternion wavelets[J]. IEEE Transactions on Image Processing, 2008, 17(7): 1069-1082.

[13] Li C R, Li J P, Fu B. Magnitude-phase of quaternion wavelet transform for texture representation using multilevel copula[J]. IEEE Signal Processing Letters, 2013, 20(8): 799-802.

[14] Gai S, Yang G W, Zhang S. Multiscale texture classification using reduced quaternion wavelet transform[J]. AEU-International Journal of Electronics and Communications, 2013, 67(3): 233-241.

[15] Chai P F, Luo X Q, Zhang Z C. Image fusion using quaternion wavelet transform and multiple features[J]. IEEE Access, 2017, 5: 6724-6734.

[16] Oppenheim A V, Lim J S. The importance of phase in signals[J]. Proceedings of the IEEE, 1981, 69(5): 529-541.

[17] Hayes M, Lim J, Oppenheim A. Signal reconstruction from phase or magnitude[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1980, 28(6): 672-680.

[18] Vilankar K P, Vasu L, Chandler D M. On the perception of band-limited phase distortion in natural scenes[J]. Proceedings of SPIE, 2011, 7865: 78650C.

[19] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Transactions on Image Processing, 2012, 21(12): 4695-4708.

[20] Chen TQ, GuestrinC. XGBoost: a scalable tree boosting system[C]∥KDD 2016: 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 13-17, 2016, San Francisco, California, USA. New York: ACM, 2016: 785- 794.

李一凡, 李朝锋, 桑庆兵. 四元数小波变换优化单目图的无参考立体图像质量评价[J]. 激光与光电子学进展, 2019, 56(18): 181006. Yifan Li, Chaofeng Li, Qingbing Sang. No-Reference Stereo Image Quality Assessment of Cyclopean Images Optimized Using Quaternion Wavelet Transform[J]. Laser & Optoelectronics Progress, 2019, 56(18): 181006.

本文已被 5 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!