全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

使用半高斯核的冲击扩散滤波图像盲复原方法

DOI: 10.3724/SP.J.1004.2014.01166, PP. 1166-1175

Keywords: 冲击滤波,偏微分方程,图像复原,半高斯核

Full-Text   Cite this paper   Add to My Lib

Abstract:

?提出一种冲击扩散模型对含有模糊与噪声的退化图像进行盲复原.该方法使用半高斯核提取图像边缘的精确方向,并且对不同的图像区域使用不同的冲击扩散策略.实验结果表明,所提出的方法能够有效地消除图像中的噪声并增强边缘,同时能够保存小物体与角落等图像结构.相比于其他方法,所提出方法的复原图像拥有更好的视觉效果与更高图像评价指标.

References

[1]  Gilboa G, Sochen N, Zeevi Y. Image enhancement and denoising by complex diffusion processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(8): 1020-1036
[2]  Fu S J, Ruan Q Q, Wang W Q, Chen J N. Region-based shock-diffusion equation for adaptive image enhancement. Advances in Machine Vision, Image Processing, and Pattern Analysis. Berlin: Springer-Verlag, 2006. 387-395
[3]  Cheng Xiao-Gang, An Ming-Wei, Ruan Ya-Duan, Chen Qi-Mei. A modern image quality measurement method for blind image restoration. Acta Automatica Sinica, 2013, 39(4): 418-423(成孝刚, 安明伟, 阮雅端, 陈启美. 基于变分的盲图像复原质量评价指标. 自动化学报, 2013, 39(4): 418-423)
[4]  Zheng Yu-Hui, Zhang Jian-Wei, Chen Yun-Jie, Sun Quan-Sen. Weighted curvature-preserving PDE based image regularization method. Acta Automatica Sinica, 2011, 37(10): 1175-1182(郑钰辉, 张建伟, 陈允杰, 孙权森. 加权型曲率保持PDE图像滤波方法. 自动化学报, 2011, 37(10): 1175-1182)
[5]  Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, {\bf12(7): 629-639
[6]  Osher S, Rudin L I. Feature-oriented image enhancement using shock filters. SIAM Journal on Numerical Analysis, 1990, 27(4): 919-940
[7]  Alvarez L, Mazorra L. Signal and image restoration using shock filters and anisotropic diffusion. SIAM Journal on Numerical Analysis, 1994, 31(2): 590-605
[8]  Kornprobst P, Deriche R, Aubert G. Image coupling, restoration and enhancement via PDE's. In: Proceedings of the 1997 International Conference on Image Processing. Santa Barbara, USA: IEEE, 1997, 2: 458-461
[9]  Weickert J. Coherence-enhancing shock filters. Pattern Recognition. Berlin: Springer-Verlag, 2003. 1-8
[10]  Weickert J. Coherence-enhancing diffusion filtering. International Journal of Computer Vision, 1999, 31(2-3): 111-127
[11]  Freeman W T, Adelson E H. The design and use of steerable filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(9): 891-906
[12]  Jacob M, Unser M. Design of steerable filters for feature detection using Canny-like criteria. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(8): 1007-1019
[13]  Perona P. Steerable-scalable kernels for edge detection and junction analysis. Image and Vision Computing, 1992, 10(10): 663-672
[14]  Sha'ashua A, Ullman S. Structural saliency: the detection of globally salient structures using a locally connected network. In: Proceedings of the 1988 International Conference on Computer Vision. Tampa, USA: IEEE, 1988. 321-327
[15]  Simoncelli E, Farid H. Steerable wedge filters for local orientation analysis. IEEE Transactions on Image Processing, 1996, 5(9): 1377-1382
[16]  Canny F. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, PAMI-8(6): 679-698
[17]  Montesinos P, Magnier B. A new perceptual edge detector in color images. Advanced Concepts for Intelligent Vision Systems. Berlin: Springer-Verlag, 2010. 209-220
[18]  Palomares J L, Montesinos P, Diep D. A new affine invariant method for image matching. In: Proceedings of the 2012 Three-Dimensional Image Processing (3DIP) and Applications II. Burlingame, USA: SPIE, 2012
[19]  Magnier B, Montesinos P, Diep D. Texture removal in color images by anisotropic diffusion. In: Proceedings of the 2011 International Conference on Computer Vision Theory and Applications. Vilamoura, Portugal: Springer-Verlag, 2011. 40-50
[20]  Wang Z, Bovik A C, Sheikh H R, Simoncelli E P. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, 2004, 13(4): 600-612

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133