期刊文献+

恶劣环境下图像的缺陷补偿

Deficiency Compensation of Image in Severe Environment
下载PDF
导出
摘要 在分析介质(环境)对成像质量影响的基础上,建立了介质中图像衰减模型,提出了一种同时适用于过暗、过亮、有雾和水下四种恶劣环境下的衰减补偿算法.图像的主观评价和客观评价的实验表明运用此衰减补偿算法处理后的图像拥有更好的视觉效果,并在处理速度上有较大的提升. This paper establishes an image attenuation model in the medium and proposes an attenuation compensation algorithm which can be used in four types of severe environment mentioned above.The experiments on subjective assessment and objective assessment function indicate the image processed by the proposed attenuation compensation algorithm has better visual effect,and the speed of the processing been promoted considerably.
出处 《微电子学与计算机》 CSCD 北大核心 2015年第3期54-58,共5页 Microelectronics & Computer
基金 国家自然科学基金项目(60975008)
关键词 恶劣环境 衰减补偿 自适应调节 质量评价 severe environment attenuation compensation adaptive control objective evaluation
  • 相关文献

参考文献5

二级参考文献69

  • 1周旋,周树道,黄峰,朱福萌,周小滔.卫星图像的去雾研究[J].计算机应用与软件,2005,22(12):54-55. 被引量:3
  • 2芮义斌,李鹏,孙锦涛,谢仁宏.一种交互式图像去雾方法[J].计算机应用,2006,26(11):2733-2735. 被引量:17
  • 3陈强,陈贺新,李文娟.基于3维矩阵变换的彩色图像质量评价方法研究[J].中国图象图形学报,2006,11(11):1732-1735. 被引量:4
  • 4谢正祥,王志芳,刘燕欢,刘玉红,王颖,李虹.灰度谱分级平坦化理论[J].中国医学物理学杂志,2006,23(6):405-407. 被引量:19
  • 5谢正祥,王颖,彭子苡,王志芳,刘玉红,李虹.基于Zadeh-X变换的图像隐藏和挖掘技术[J].中国医学物理学杂志,2007,24(1):9-11. 被引量:13
  • 6OAKLEY J P, SATHERLEY B L. Improving image quality in poor visibility conditions using a physical model for contrast degradation[J]. IEEE Transactions on Image Processing, 1998, 7( 2):167-179.
  • 7TAN K K, OAKLEY J P. Physics-based approach to color image enhancement in poor visibility conditions[J]. J Opt Soc Am A, 2001, 18(10):2460-2467.
  • 8TAN K K, OAKLEY J P. Enhancement of color images in poor visibility conditions [ C]//International Conference on Image Processing. Vancouver, BC, Canada: [ s. n. ], 2000, 2:788-791.
  • 9NARASIMHAN S G, NAYAR S K. Contrast restoration of weather degraded images[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2003, 25 (6) : 713-724.
  • 10NARASIMHAN S G, NAYAR S K. Chromatic framework for vision in bad weather[C]//IEEE Conference on Computer Vision and Pattern Recognition. Hilton Head Island, SC. USA : [ s. n. ] , 2000,1: 598-605.

共引文献82

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部