A new family of Gaussian filters with adaptive lobe location and smoothing strength for efficient image restoration

EURASIP Journal on Advances in Signal Processing

Table 3 Comparison results between the proposed technique, the conventional filter, and the AGSS filtering process

Images	AGSS technique	Static Gaussian filter	Proposed technique (AGK)	∆ P 1	∆ P 2
Boat	31.9	32.818	40.11	8.21	7.29
Lena	23.1	33.0982	37.957	14.86	4.86
House	28.7	33.2332	37.891	9.19	4.66
Barbara	35.5	32.7839	38.331	2.83	5.55
Peppers	20.3	33.6212	40.274	19.97	6.65

Gaussian noise (variance = 0.01). ∆P 1 represents the PSNR difference computed between the AGK and the AGSS approach, whereas ∆P 2 is the difference between the proposed approach and the static Gaussian filter. The computed PSNR of the filtered image using the proposed adaptive Gaussian filter is more important than those of the AGSS and the static Gaussian filter.