[1]浦利,金伟其,刘玉树,等.基于小波双立方配比插值的图像插值放大算法研究[J].红外技术,2006,28(8):453-455.
 PU Li,JIN Wei-qi,LIU Yu-shu,et al.A Study of Wavelet Bi-cubic Ratio Interpolation Algorithm[J].Infrared Technology,2006,28(8):453-455.
点击复制

基于小波双立方配比插值的图像插值放大算法研究
分享到:

《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
28卷
期数:
2006年第8期
页码:
453-455
栏目:
出版日期:
2006-08-20

文章信息/Info

Title:
A Study of Wavelet Bi-cubic Ratio Interpolation Algorithm
文章编号:
1001-8891(2006)08-0453-03
作者:
浦利1金伟其2刘玉树1苏秉华2张楠2
1.北京理工大学计算机科学技术学院,北京 100081;2. 北京理工大学信息科学技术学院,北京 100081
Author(s):
PU Li1JIN Wei-qi2LIU Yu-shu1SU Bing-hua2ZHANG Nan2
1.School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;
2.School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China

关键词:
红外热图像超分辨率小波插值双立方插值
Keywords:
infrared thermal imagesuper-resolutionwavelet interpolationbi-cubic interpolation
分类号:
TN911.73
文献标志码:
A
摘要:
插值放大技术可以提高图像的分辨率,改善图像质量而通常不需要对硬件进行改变。简要介绍了几种插值方法,特别是小波插值的思想,在此基础上提出了一种新的小波双立方配比插值方法(Wavelet Bi-cubic)。试验证明这种算法能有效提高红外热图像插值复原的效果。
Abstract:
Interpolation algorithm can improve the image quality and increase the resolution without changing hardware. This article introduces several interpolation algorithms, the wavelet interpolation in particular. A novel wavelet bi-cubic ratio algorithm based on wavelet interpolation is described. The experiments proved this algorithm improve the infrared images effectively.

参考文献/References:

[1] ?苏秉华, 金伟其, 等. 超分辨率图像复原及其进展[J]. 光学技术. 2001, 27(1): 6~9.
[2] ?陶洪久, 柳健, 田金文. 基于小波变换和插值的超分辨率图像处理算法[J]. 武汉理工大学学报. 2002, 24(8): 63~66.
[3] ?屈有山, 田维坚, 李英才, 等. 基于小波双三次插值提高光学遥感图像空间分辨率的研究[J]. 光子学报. 2004, 33(5): 601~603.
[4] ?任获荣,余望好.基于M带小波变换与模糊聚类的图像去噪算法[J]. 红外技术. 2004, 26(4): 36~40.
[5] ?韩彦中. 数字图像FFT算法及编程的探讨[J]. 红外技术. 2003, 25(3): 27~28.?
[6] ?Andrews H C, Hunt B R. Digital Image Restoration[M]. Prentice Hall, Englewood Cliffs, NJ, 1977.
[7] ?Hunt B R. Super--Resolution of Images: Algorithms, Principles, Perfor- mance[A]. International Journal of Imaging Systems and Technology[C]. 1995, 6: 297~304.
[8] ?Jo YT, Shen LX, Seng LL, et al.. A general approach for analysis and application of discrete multi 2 wavelet transform[A]. IEEE Transactions on Signal Processing[C]. 2000, 48(2): 457~464.

相似文献/References:

[1]聂笃宪,陈一梅,陈鹤峰.去混合噪声的超分辨率图像重建算法[J].红外技术,2010,32(10):604.
 NIE Du-xian,CHEN Yi-mei,CHEN He-feng.Super-resolution Image Reconstruction Algorithm for mixed Noises Removal[J].Infrared Technology,2010,32(8):604.
[2]樊超,孙宁宁,夏旭.基于序列图像的超分辨率重建[J].红外技术,2010,32(5):279.
 FAN Chao,SUN Ning-ning,XIA Xu.Super-resolution Reconstruction Based on Image Sequences[J].Infrared Technology,2010,32(8):279.
[3]陈博洋,陈桂林,孙胜利.亚像元技术在图像采集系统中的应用[J].红外技术,2007,29(4):226.
 CHEN Bo-Yang,CHEN Gui-Lin,SUN Sheng-Li.Application of Subpixel Technology for Image Collection System[J].Infrared Technology,2007,29(8):226.
[4]徐宏财,向健勇,潘皓.一种改进的POCS算法的超分辨率图像重建[J].红外技术,2005,27(6):477.
 XU Hong-cai,XIANG Jian-yong,PAN Hao.An Improved POCS Algorithm for Super-resolution Image Reconstruction[J].Infrared Technology,2005,27(8):477.
[5]姚 敏,周 勤.一种低匹配误差敏感度的红外图像超分辨率算法[J].红外技术,2016,38(10):864.[doi:10.11846/j.issn.1001_8891.201610010]
 YAO Min,ZHOU Qin.An Infrared Images Super-resolution Algorithm with Low Registration Error Sensitivity [J].Infrared Technology,2016,38(8):864.[doi:10.11846/j.issn.1001_8891.201610010]
[6]刘 哲,黄世奇,姜 杰.基于引导滤波和多尺度局部自相似单幅红外图像超分辨率方法[J].红外技术,2017,39(4):345.[doi:10.11846/j.issn.1001_8891.201704009]
 LIU Zhe,HUANG Shiqi,JIANG Jie.Single Image Super Resolution Method Based on Multi-scale Self-similarity and Non Local Means [J].Infrared Technology,2017,39(8):345.[doi:10.11846/j.issn.1001_8891.201704009]
[7]刘 哲,韩九强,黄世奇.基于多引导滤波器的单幅图像超分辨率技术[J].红外技术,2017,39(10):920.[doi:10.11846/j.issn.1001_8891.201710009]
 LIU Zhe,HAN jiuqiang,HUANG Shiqi.Single Image Super-Resolution Based on Multi-Guided Filtering[J].Infrared Technology,2017,39(8):920.[doi:10.11846/j.issn.1001_8891.201710009]
[8]姜杰,刘哲,吕林涛.局部线性嵌入的快速单幅图像超分辨率技术[J].红外技术,2018,40(1):039.[doi:10.11846/j.issn.1001_8891.201801008]
 JIANG Jie,LIU Zhe,LV Lintao.Fast Single-image Super Resolution Technique Based on Local Linear Embedding[J].Infrared Technology,2018,40(8):039.[doi:10.11846/j.issn.1001_8891.201801008]
[9]蔡坤琪.快速图像超分辨率方法研究[J].红外技术,2018,40(3):269.[doi:10.11846/j.issn.1001_8891.201803012]
 CAI Kunqi.A Study on Rapid Image Super-resolution[J].Infrared Technology,2018,40(8):269.[doi:10.11846/j.issn.1001_8891.201803012]
[10]袁丽华,汪江飞,朱争光,等.材料表面裂纹的红外热像显微检测[J].红外技术,2018,40(6):612.[doi:10.11846/j.issn.1001_8891.201806015]
 YUAN Lihua,WANG Jiangfei,ZHU Zhengguang,et al.Detection of Material Surface Cracks by Infrared Thermal Imaging Microscope[J].Infrared Technology,2018,40(8):612.[doi:10.11846/j.issn.1001_8891.201806015]

备注/Memo

备注/Memo:
?收稿日期:2006-05-08
?作者简介:浦利(1971-),男,北京人,北京理工大学在读博士生,从事图像处理,超分辨率图像复原的研究。

更新日期/Last Update: 2015-05-07