基于小波变换的图像超分辨率增强算法  

Image Super-Resolution Enhancement Algorithm Based on Wavelet Transform

作　　者：袁媛[1] 江力[1] 

机构地区：[1]安徽电子信息职业技术学院信息工程系,安徽蚌埠233030

出　　处：《实验科学与技术》2008年第3期11-13,16,共4页Experiment Science and Technology

摘　　要：视频图像超分辨率增强技术具有重要的研究价值。文章在研究和分析小波变换理论的基础上提出了一种基于小波变换的图像超分辨率增强算法,该算法充分利用小波多分辨率分解思想,体现图像分辨率降低的自然过程;通过估计高分辨率小波系数,经插值逆变换可得到重构的高分辨率图像。实验结果证明该算法克服了传统的插值方法致使图像高频部分损失、细节被模糊的缺点,是超分辨率图像处理的一种行之有效的途径,具有一定的实用价值。The enhancement technique of video image super-resolution has important research implications, This paper puts forward an image super-resolution enhancement algorithm based on wavelet transform, This algorithm makes full use of the wavelet multi-resolution transform, and embodies the natural process of decrease of image resolution; it estimates the high resolution wavelet coefficient and gets the reconstructed high resolution image by interpolation inverse transformation, The results of the experiment proves that this algorithm overcomes the disadvantages of the traditional interpolation method which causes high resolution image loss and details blurry . It is a useful and valuable method of super-resolution image processing.

关 键 词：超分辨率 小波变换 图像插值 

分 类 号：TN911.73[电子电信—通信与信息系统]