  We introduce a camera pipeline for rendering visually pleasing photographs in
low light conditions, as part of the NTIRE2022 Night Photography Rendering
challenge. Given the nature of the task, where the objective is verbally
defined by an expert photographer instead of relying on explicit ground truth
images, we design an handcrafted solution, characterized by a shallow structure
and by a low parameter count. Our pipeline exploits a local light enhancer as a
form of high dynamic range correction, followed by a global adjustment of the
image histogram to prevent washed-out results. We proportionally apply image
denoising to darker regions, where it is more easily perceived, without losing
details on brighter regions. The solution reached the fifth place in the
competition, with a preference vote count comparable to those of other entries,
based on deep convolutional neural networks. Code is available at
www.github.com/AvailableAfterAcceptance.
