Simulating low vision in high dynamic range scenes

High Dynamic Range Displays and Low Vision

The variations in light energy we experience are huge. For example, the average luminance outdoors can be 100 million times greater during the day than at night. The luminance dynamic range at any moment can also be large, with contrasts on the order of 10,000:1 from highlights to shadows. Luminance levels can also change dramatically over time and from place to place. Vision functions over the...

Perceived glossiness in high dynamic range scenes.

We investigated how spatial pattern, background, and dynamic range affect perceived gloss in brightly lit real scenes. Observers viewed spherical objects against uniform backgrounds. There were three possible objects. Two were black matte spheres with circular matte white dots painted on them (matte-dot spheres). The third sphere was painted glossy black (glossy black sphere). Backgrounds were ...

High Dynamic Range Imaging of Natural Scenes

The ability to capture and render high dynamic range scenes limits the quality of current consumer and professional digital cameras. The absence of a well-calibrated high dynamic range color image database of natural scenes is an impediment to developing such rendering algorithms for digital photography. This paper describes our efforts to create such a database. First, we discuss how the image...

The Eye and High-Dynamic-Range Vision

High dynamic range imaging of non-static scenes

A well-known technique in high dynamic range (HDR) imaging is to take multiple photographs, each one with a different exposure time, and then combine them to produce an HDR image. Unless the scene is static and the camera position is fixed, this process creates the so-called “ghosting” artifacts. In order to handle non-static scenes or moving camera, images have to be spatially registered. This...