Research on Image Denoising with Wavelet Transform and Finite Element Method
Tai-sheng Zeng · International Journal of Signal Processing Image Processing and Pattern Recognition · 2015
Image denoising is the modern problems often encountered in the image processing technology, the denoising algorithm puts forward in this paper is mainly using the characteristics that wavelet transform is suitable for processing point strange and finite element transformation line is suitable for processing some strange, and adopt the method of image partition to separate the image into homogeneous blocks and non homogenous blocks, use wavelet transform to process the homogenous blocks, and finite element method processes non homogenous block, the experimental results show that this method has better denoising effect, should have good practical value.