An Edge-Preserved Image Denoising Algorithm Based on Local Adaptive Regularization

Table 1

Comparison of denoising results by different methods in terms of SNR value.

	Salt and pepper noise	Gaussian noise	Random noise	Real noisy image	Average SNR
Noisy image	8.1867	7.5325	7.1122	6.3736	7.3013
Classical TV	15.2426	13.5687	14.3264	11.4326	13.6425
Bilateral filter	15.0410	13.3146	14.2720	11.2724	13.4750
Method in [4]	15.7141	14.1413	14.6837	11.7538	14.0732
Method proposed in this paper	15.9832	14.2835	14.8013	12.1015	14.2925