首页 | 官方网站   微博 | 高级检索  
     

一种基于多小波变换的自适应图像插值算法
引用本文:郑雄波,张晓威.一种基于多小波变换的自适应图像插值算法[J].数值计算与计算机应用,2009,30(3):211-217.
作者姓名:郑雄波  张晓威
作者单位:哈尔滨工程大学理学院,哈尔滨,150001
基金项目:国家自然科学基金,水下智能机器人技术国防科技重点实验室 
摘    要:为使插值后的图像具有很好的视觉效果和较高的信噪比,并克服使用单小波变换放大图像时的斑点干扰现象,提出了一种新颖的自适应图像插值算法,通过将图像变换到多小波域,并利用多小波域内高频子带的分形维数,自适应的根据低分辨率图像以及该图像进行一级多小波变换后的高频子带信息获取高分辨率图像二级多小波变换的子带信息,对所得到的子带信息进行二级多小波反变换,可以得到更清晰的二倍插值图像。

关 键 词:多小波变换  图像插值  图像的分形维数  分辨率增强

AN ADAPTIVE IMAGE INTERPOLATION ALGORITHM BASED ON MULTIWAVELET TRANSFORM
Zheng Xiongbo,Zhang Xiaowei.AN ADAPTIVE IMAGE INTERPOLATION ALGORITHM BASED ON MULTIWAVELET TRANSFORM[J].Journal on Numerical Methods and Computer Applications,2009,30(3):211-217.
Authors:Zheng Xiongbo  Zhang Xiaowei
Affiliation:Zheng Xiongbo Zhang Xiaowei (College of Science of Harbin Engineering University, Harbin 150001, China)
Abstract:In order to get the interpolated image with better visual result and higher SNR, and overcome shortcomings of the blur effects when interpolating with the scalar wavelet transform, a novel adaptive image interpolation algorithm is proposed in the paper. By transforming images into muttiwavelet domain and using the fractal dimensions of high frequency bands, with the low-resolution image and the high frequency bands of one level multiwavelet transform for the image, every band of two level multiwavelet transform for high-resolution image is gotten adaptively. Through two level inverse multiwavelet transform, more distinct interpolated image can be gotten.
Keywords:multiwavelet transform  image interpolation  fractal dimension of the image  image resolution enhancement
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号