Max Denoise ((exclusive)) May 2026

Parameters: - image: numpy array (grayscale or color) normalized to [0,1] or [0,255] - sigma: estimated noise standard deviation (used for wavelet threshold) - h: non-local means filter strength (larger = stronger denoising) - wavelet: wavelet type for thresholding

# Add strong synthetic noise noisy = random_noise(original, mode='gaussian', var=0.04) noisy = random_noise(noisy, mode='s&p', amount=0.05) # extra salt & pepper max denoise

# Compute universal threshold threshold = sigma * np.sqrt(2 * np.log(denoised.size)) Parameters: - image: numpy array (grayscale or color)

# Load a test image original = img_as_float(data.camera()) 1] or [0