The applications of rescaled power scale space filtering method to image denoising
能量回归尺度空间滤波法在图像去噪中的应用

Enhance edges of images efficiently and removal noises in images are fundamental issues in the field of image processing and computer vision. A rescaled power space filtering method is proposed in this paper using multi-scale dyadic wavelet transform for 2D noisy image. Some sample images are tested and results demonstrate that the rescaled power space filtering method can preserve edges features and reduces noises. Compared with the commonly-used wavelet hard-thresholding and soft-thresholding methods, rescaled power space filtering algorithm increases the peak signal to noise ratio (PSNR) by 2~3dB which indicates the superior denoising performance of the power space filtering method.