The human visual system (HVS) is a complicated network of filters and algorithms evolved to provide humans with an optimal set of inputs for the task at hand. Temporal and spatial averaging, matched filter analysis, variable gain settings, real time adjustments and feedback – all of these are seamlessly available to humans as they view the world around them via the HVS. In certain situations, however, these abilities may be limited by circumstances necessitated by the task, such as an intermediate display from an external sensor, constrained viewing distance or gain settings, etc. In order to improve the performance of individuals in these situations, a more thorough understanding of how the HVS compensates and performs is required. This paper investigates the denoising performance of the HVS in the presence of noise and various display settings to establish a baseline for optimal display adjustment quality under environmental or system constraints.