Current view representation methods in VR predominantly rely on static photographs and tone-mapping operators without temporal variations, limiting the exploration of dynamic features in a view. Our study presents an alternative workflow to capture dynamic daylit views in VR by utilizing real-time videos and the camera's automatic tone-mapping procedures. Preliminary results from our previous pilot study demonstrated that the combination of real-time videos and a scale model provides perceptually accurate view-out perception in VR. This study builds upon these findings by further validating the application of real-time videos for studying daylit view-out perception in VR through a direct comparison between real-time videos tone-mapped using the camera's automatic settings and tone-mapped HDR photographs. Given the importance of brightness and contrast measures in visual perception and perceptual accuracy, our comparison focuses on these key aspects that significantly influence scene impressions by conveying essential information about depth, spatial relationships, and overall realism. Insufficient brightness and contrast can impede the accurate representation of environments, ultimately impacting the viewer's perception and immersive experience. By examining brightness and contrast measures in the context of the output display device, we aim to address this crucial aspect of visual perception and provide insights into perceptual accuracy for VR projection. By evaluating the suitability of the camera's automatic tone-mapping procedures in comparison to normative tone-mapping operators, this research establishes a foundation for new experimental approaches to reliably represent dynamic movements and temporal changes in views-out, enabling more comprehensive investigations in future studies.