Abstract: A method for a deconvolution of a digital input image (I(xi)) having a plurality of input voxels (xi), in particular a digital input image obtained from a medical observation device, such as a microscope or endoscope and/or using fluorescence, includes computing a local signal-to-noise ratio (SNR(xi)) within an input region (R(xi)) of the digital input image, the input region consisting of a subset of the plurality of input voxels of the digital input image and surrounding the current input voxel. A noise component (?(SNR)) is computed from the local signal-to-noise ratio, the noise component representing image noise (([h*f](xi), n(xi)) in the deconvolution. The noise component is limited to a predetermined minimum noise value (?min) for a local signal-to-noise ratio above a predetermined upper SNR threshold value (SNRmax) and is limited to a predetermined maximum noise value (?max) for a local signal-to-noise ratio below a predetermined lower SNR threshold value (SNRmin).