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...

改进鱼眼变换技术的图像适应

DOI: 10.11834/jig.20141205

Keywords: 图像适应,鱼眼变换,焦点检测,最优高能量线

Full-Text   Cite this paper   Add to My Lib

Abstract:

目的为解决目前基于鱼眼变换技术的图像适应方法难以解决的焦点检测和多焦点冲突两大问题,提出一种基于改进鱼眼变换技术的图像适应方法。方法提出的方法根据源图像的能量计算出图像中所有最优高能量线并组成高能量线集合,作为源图像的高能量部分,即图像的焦点区域;以能量线而不是传统的图像区域为单位进行鱼眼变换以得到目标图像。结果改变鱼眼变换技术的变换模式并应用于图像适应中,实验结果表明,本文方法解决了基于鱼眼变换技术的图像适应方法存在的问题,通过本文算法所得到的目标图像具有较好的视觉效果,用户满意度接近4分。算法运行速度较快,将源图像(512×384)长度缩小一半的情况下仅需6s的运算时间。结论本文方法一方面保留了鱼眼变换图像适应方法的优势,在突出显示图像重要部分的同时,不会忽略图像的次要部分;另一方面解决了鱼眼变换图像适应方法存在的焦点检测和多焦点冲突问题。实现效果和用户主观评价结果表明,该方法是一种有效可行的图像适应方法。

References

[1]  Chen L Q, Xie X, Fan X, et al. A visual attention model for adapting images on small displays[J]. Multimedia Systems, 2003, 9(4): 353-364. [DOI:10.1007/s00530-003-0105-4]
[2]  Ciocca G, Cusano C, Gasparini F, et al. Self-adaptive image cropping for small displays[J]. IEEE Transactions on Consumer Electronics, 2007, 53(4): 1622-1627. [DOI:10.1109/ICCE.2007.341331]
[3]  Avidan S, Shamir A. Seam carving for content-aware image resizing [J]. ACM Transactions on Graphics, 2007, 26(3): #10. [DOI:10.1145/1276377.1276390]
[4]  Guo Y, Liu F, Shi J, et al. Image retargeting using mesh parametrization [J]. IEEE Transactions on Multimedia, 2009, 11(5): 856-867. [DOI:10.1109/TMM.2009.2021781]
[5]  Rubinstein M, Shamir A, Avidan S. Multi-operator media retargeting [J]. ACM Transactions on Graphics, 2009, 28(3): #23. [DOI:10.1145/1531326.1531329]
[6]  Zhang L X, Song H Z, Ou Z M, et al. Image retargeting with multi-focus fisheye transformation[J]. The Visual Computer, 2013, 29(5): 407-420. [DOI:10.1007/s00371-012-0744-6]
[7]  Rubinstein M, Shamir A, Avidan S. Improved seam carving for video retargeting [J]. ACM Transactions on Graphics, 2008, 27(3): #16. [DOI:10.1145/1360612.1360615]
[8]  Rubinstein M, Shamir A, Avidan S. Improved seam carving for video retargeting [J]. ACM Transactions on Graphics. 2008, 27(3): #16. [DOI:10.1145/1360612.1360615]
[9]  Cho S, Choi H, Matsushita Y, et al. Image retargeting using importance diffusion[C]// Proceedings of the 16th IEEE International Conference on Image Processing. Washington DC: IEEE, 2009: 977-980. [DOI:10.1109/ICIP.2009.5413801]
[10]  Achanta R, Susstrunk S. Saliency detection for content-aware image resizing[C]// Proceedings of the 16th IEEE International Conference on Image Processing. Washington DC: IEEE, 2009: 1005-1008. [DOI:10.1109/ICIP.2009.5413815]
[11]  Goferman S, Zelnik-Manor L, Tal A. Context-aware saliency detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(10): 1915-1926. [DOI:10.1109/TPAMI.2011.272]
[12]  Furnas, G W. The fisheye view: a new look at structured files [R]. Bell Laboratories: Murray Hill, 1982.
[13]  Liu F, Gleicher M. Automatic image retargeting with fisheye-view warping[C]// The 18th Annual ACM Symposium on User Interface Software and Technology. New York: ACM, 2005: 153-162. [DOI:10.1145/1095034.1095061]
[14]  Zhang L X, Ou Z M, Song H Z, et al. Treatment of the multi-focus problem for image retargeting based on fisheye transformation [J]. Journal of Image and Graphics, 2011, 16(4):538-546. [张丽霞,区兆明,宋鸿陟,等. 鱼眼变换方式的图像适应中多焦点问题的处理方法 [J]. 中国图象图形学报,2011, 16(4):538-546.][DOI:1006-8961(2011)04-0538-09]
[15]  Achanta R, Hemami S, Estrada F, et al. Frequency-tuned salient region detection[C]// Proeedings of IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, USA: IEEE, 2009: 1597-1604. [DOI:10.1109/CVPR.2009.5206596]
[16]  Wang J, Ying Y, Guo Y, et al. Automatic foreground extraction of head shoulder images[M]//Advances in Computer Graphics. Berlin Heidelberg: Springer, 2006: 385-396. [DOI:10.1007/11784203_33]
[17]  Kwon T M, Agrawal P, Crouch D B. An ROI search method for still images based on set descriptions [J]. Multidimensional Systems and Signal Processing, 1998, 9(1): 93-106. [DOI:10.1023/A:1008261806662]
[18]  Rubinstein M, Gutierrez D, Sorkine O, et al. A comparative study of image retargeting [J]. ACM Transactions on Graphics, 2010, 29(6): #160. [DOI:10.1145/1866158.1866186]

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133