High dynamic range (HDR) images are usually generated by combining multiple
photographs acquired with different exposure times. This approach, while effective, suffers …

Building high dynamic range (HDR) images by combining photographs captured with
different exposure times present several drawbacks, such as the need for global alignment …

Abstract High-dynamic-range (HDR) images can be created with standard camera hardware
by the capturing and combining of multiple pictures, each sampling a different segment of …

High dynamic range (HDR) images play an important role in todays computer graphics:
Typical applications are the improved display of a photograph with a tone mapper and the …

In high dynamic range (HDR) imaging, multiple photographs with different exposure times
are combined into a radiance map, which reflects the radiance in real-life scenes. This …

The contrast in real world scenes is often beyond what consumer cameras can capture. For
these situations, High Dynamic Range (HDR) images can be generated by taking multiple …

A common method to create high dynamic range (HDR) images is to combine several
different exposures of the same scene. In this approach, the use of higher ISO settings will …

High dynamic range (HDR) imaging from a set of sequential exposures is an easy way to
capture high-quality images of static scenes, but suffers from artifacts for scenes with …

This dissertation studies the problem of high dynamic range (HDR) image generation from a
statistical perspective. A thorough analysis of the camera acquisition process leads to a …

We present fast, robust and fully automatic method for high dynamic range images
acquisition for non-static scenes. The key components of our technique are probability maps …