摘要
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全景图像超分辨率增强算法,该算法充分利用了小波多分辨率分解思想,体现图像降低的自然过程;通过高分辨率小波系数,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算法致使图像高分辨部分损失、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。
The enhancement technique of panoramic image super-resolution has important research implications. This paper puts forward an panoramic 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.
出处
《软件导刊》
2009年第11期74-76,共3页
Software Guide
关键词
小波变换
全景图像
超分辨率增强
算法
Wavelet Transform
Panoramic Image
Super-resolution
Image Interpolation
