Helsinki deblur challenge 2021: Description of photographic data

Image deconvolution is a classical inverse problem that serves well as computational test bench for reconstruction algorithms. Namely, the direct operator can be modelled in straightforward way either by convolution or multiplication frequency domain. Further, ill-posedness of adjusted form point spread function (PSF). An open photographic dataset described, suitable testing practical methods. The image material was designed and collected Helsinki Deblur Challenge 2021. contains pairs images taken two identical cameras same target but with different conditions. One camera always focus generates sharp low-noise images, while other produces blurred noisy photos it gradually more out has higher ISO setting. data available here: https://doi.org/10.5281/zenodo.4916176