Influence of Additive White Gaussian Noise on the OEO Output

Image denoising algorithm based on self-attention residual network

“…Image noise modeling generally uses Gaussian additive noise model (AWGN) [10]. The model assumes that each pixel in the noisy image data is affected by Gaussian white noise and the noise of each pixel is independent and identically distributed.…”

Phase Congruential White Noise Generator

“…An analysis of the literature shows that most of the articles describe different applications of white noise, as well as its recognition in transmitted signals. This includes the areas such as theoretical and applied mathematics [5][6][7][8][9], physical research [3,4,[10][11][12][13], electronic and radio engineering [14][15][16][17][18][19][20][21][22][23], acoustics and noise phenomena [1][2][3][4]24,25], computer algorithms [26,27], geological prospecting and exploration [28,29], medical and biological research [30][31][32][33][34][35][36], psychology and psychiatry [37,38], and others. It is worth noting that significant results have been achieved in those fields.…”