def addGaussianRandomNoise(I, mu, sigma):
M,N=I.shape
gaussianNoise = np.random.normal(mu, sigma,(M,N))
gaussianNoise=tools.to_uint8(gaussianNoise)
I += gaussianNoise
return I
def addGaussianRandomNoise(I, mu, sigma):
M, N = I.shape
gaussianNoise = np.random.normal(mu, sigma, (M, N))
gaussianNoise = tools.to_uint8(gaussianNoise)
I += gaussianNoise
return I
def addRandomUniformNoise(I):
M,N=I.shape
noise = np.random.rand(M,N)*60
noise=tools.to_uint8(noise)#
I += noise
return I
def addRandomUniformNoise(I):
M, N = I.shape
noise = np.random.rand(M, N) * 60
noise = tools.to_uint8(noise) #
I += noise
return I
