Research and simulation of digital image denoising based on MATLAB
Hao Su, Shuqing Qi, Qiqi Zhang, Yanhui Xu · 2025
The problem is disturbed by the noise of acquisition and transmission in digital image, four denoising algorithms is studied based on MATLAB in this paper: mean filter, median filter, Gaussian filter and wavelet transform. Through experiments on the removal effect of Gaussian noise and salt-and-pepper noise, the algorithms are compared, and the effectiveness of the algorithms is verified by combining subjective evaluation and objective index (PSNR, SSIM). The experimental results show that the Gaussian filter has the best denoising effect on Gaussian noise, and the median filter has the best performance on salt-and-pepper noise. The feasibility of the algorithm in practical application is verified by the simulation of ECG image denoising. Through this research, theoretical support and practical reference for image denoising under different noise scenes is provided.