摘要
介绍了第二代小波(SGWs)的基本原理和特点,在此基础上提出了低分辨率采样图像高分辨率(HR)重建算法。它不但具有结构简单,逆变换容易,可扩展性好的优点,并且克服了第一代小波(FGWs)的不均匀采样和定义在有限区间上的难题,指出了小波变换时数据不规则性的处理方法,并利用硬/软阈值对小波系数降噪,使得重构后的图像具有最佳的PSNR和最低的重构误差。实验和仿真结果表明,与传统方法相比,该算法在提高了图像的分辨率同时PSNR最多能提高3dB左右。
On the basis of theories and characteristics of the second generation wavelet （SGWs）, high-resolution （HR） reconstruction algorithm which is from a captured sequence of low-resolusion frames is proposed. It not only has a simple structure, a easy process of inverse transformation, the advantages of good scalability, but also overcomes bounded domains and irregular samples of first generation wavelet （FGWs） . The approach of dealing with irregular data during the process of wavelet transform is introduced. By using hard/soft thresholding , the noise of wavelet coefficients is reduced , which makes the best PSNR and the lowest error of the reconstructed image. The result of experiment and computer simulations show that this method improves the res- olution of images at the same time increase the PSNR up to about 3dB.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2010年第2期521-525,共5页
Journal of Astronautics
基金
河北省教育厅基金资助项目(2007143)
关键词
图像超分辨率
第二代小波
插值细分
高分辨率重建
Image superresolution
Second generation wavelets
Interpolating subdivision
High-resolution reconstruction
