An improved adaptive image denoising model based on total variation
Lingyan Zhang · Journal of Northwest University · 2008
Aim To compare the advantages and disadvantages of some models for image denoise based on total variation and propose a new adaptive model which can adjust its smooth measurement according to local gradient.Methods The comparisons between the gradient mold and two thresholds are introduced in new model.The isotropic diffusion denoising model is used if the gradient mold is less than threshold 1,and TV denoising model is used if the gradient mold is greater than the threshold 2,and adaptive denoising model is used if the gradient mold is between two thresholds.Results Human subjective vision feelings are improved,and the mean square error(MSE) reduces by 35 and the peak signal-to-noise ratio(PSNR) increases by 2.25dB under the strong noise level.Conclusion The original model is improved.Staircase effect is reduced further more,and better denoising effects is got by new model.