Adaptive image denoising based on modified orthonormal finite ridgelet transform
基于改进型正交有限脊波分析的自适应图像去噪

One kind of Modified Orthonormal Finite Ridgelet Transform (MOFRIT) was brought forward. The information Radon coefficient wrap-around of the line on a finite field was caused by the modular arithmetic so that the Radon coefficient information in the periodic oscillations direction was processed with discrete cosine transformation, and other direction information was processed with wavelet analysis in order to reduce the wrap-around of rebuilding information. At the same time, according to the characteristic of the noise, one kind of denoising threshold selection plan was proposed. Experimental results show that the details of the signal with above algorithm are more effectively retained and the denoising image PSNR value is higher than the value of OFRIT+Wiener and 2D-DWT.