MureDenoise Version 1.21
Thanks,
Mike Schuster
The MureDenoise script denoises linear monochannel images corrupted by mixed Poisson-Gaussian noise. MureDenoise is applicable to single frame images and average combinations of equally exposed and registered frames.
The script supports an astronomical image processing workflow in which the denoising step occurs immediately after the calibration and optional average combination steps and prior to other linear or nonlinear processing steps.
The script applies an interscale wavelet mixed noise unbiased risk estimator (MURE) to find a denoised output image that minimizes an estimate of the oracle mean-squared error (MSE), or "risk", between the denoised output image and the unknown noise-free image.
Note: For linear multichannel images from monocolor detectors, run the monochannel denoiser on each channel separately. The script does not work properly for images from one shot color (OSC) detectors.
Warning: The script is adapted to denoise linear monochannel images mainly corrupted by shot noise, read noise, and dark current noise which is typically the case for astronomical data. The script does not work properly for other noise distributions, for saturated images, for debayered images, for linearly or nonlinearly processed images, for median combinations, or for drizzle combinations.
Warning: Do not combine denoised images. Signal-to-noise ratio (SNR) will be enhanced by combining noisy images and denoising the result. Combined images must be equally exposed, have the same pixel resolution, and be registered by projective transformation with no distortion correction.
More more information and examples, please see the script's documentation.