Make Gaussian noise in getPrnuShownAsSuch only on text
				
					
				
			This commit is contained in:
		| @@ -25,17 +25,14 @@ datasetPath = 'no_noise_images' | ||||
| # In addition to the range difference, note that the distribution in the first set of images was a Gaussian and here is very different and specific. | ||||
| PRNU_FACTOR = 0.01 | ||||
| NOISE_FACTOR = 0.1 | ||||
| SPLIT_N_X_N = 4 | ||||
| SPLIT_N_X_N = 1 | ||||
|  | ||||
| IMAGE_SIZE_SHAPE = [dimension // SPLIT_N_X_N for dimension in (704, 469)] | ||||
|  | ||||
| np.random.seed(0) | ||||
|  | ||||
| #prnuNpArray = 255 * randomGaussianImage(scale = PRNU_FACTOR, size = IMAGE_SIZE_SHAPE) | ||||
| prnuNpArray = getPrnuShownAsSuch(IMAGE_SIZE_SHAPE, 100) * PRNU_FACTOR | ||||
| showImageWithMatplotlib(prnuNpArray) | ||||
|  | ||||
| ## | ||||
| prnuNpArray = getPrnuShownAsSuch(IMAGE_SIZE_SHAPE, 255) * PRNU_FACTOR | ||||
|  | ||||
| def isIn256Range(x): | ||||
|     return 0 <= x and x <= 255 | ||||
|   | ||||
		Reference in New Issue
	
	Block a user