摘要
小波变换由于自身具备的时频域局部化特性,能有效地克服Fourier变换在处理非平稳的复杂图像信号时所存在的局限,已成为图像处理的一种重要手段。在简单介绍小波变换基本原理的基础上,举例说明了小波变换在图像去噪、压缩、增强和融合等方面的应用。实验结果表明:将小波变换应用于图像处理可获得良好的处理效果。
Due to the localized features of its time and frequency domain, wavelet transform can effectively overcome the limits that exist in dealing with the complex non-stationary image signal by Fourier transform. Therefore, wavelet transform has become an important means of image processing. The basic principle of wavelet transform is introduced briefly, and the applications of wavelet transform in image de-noise, image compression, image enhancement and image fusion are also illustrated. The results show that： the application of wavelet transform in image processing has a good effect.
出处
《四川理工学院学报（自然科学版）》
CAS
2013年第6期37-40,共4页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
关键词
小波变换
图像去噪
图像压缩
图像增强
图像融合
wavelet transform
image denoise
image compression
image enhancement
image fusion
