As the video industry begins deployment of ultrahigh-definition TV in both professional and
consumer markets, including support for higher dynamic range and wider color gamut …

HDR images have traditionally been obtained by merging multiple exposures each captured
with a different exposure time. However, this approach entails longer capture times and …

Taking photos with digital cameras often accompanies saturated pixels due to their limited
dynamic range, and it is far too ill-posed to restore them. Capturing multiple low dynamic …

We introduce a novel method to automatically adjust camera exposure for image processing
and computer vision applications on mobile robot platforms. Because most image …

With the development of modern image sensors enabling flexible image acquisition, single
shot high dynamic range (HDR) imaging is becoming increasingly popular. In this work, we …

High-dynamic range (HDR) video reconstruction using conventional single-exposure
sensors can be achieved by temporally alternating exposures. This, in turn, requires …

Recently, impressive denoising results have been achieved by Bayesian approaches which
assume Gaussian models for the image patches. This improvement in performance can be …

High dynamic range (HDR) imaging enables the capture of an extremely wide range of the
illumination present in a scene and so produces images that more closely resemble what we …

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

The real world scenes have a very wide range of luminance levels. But in the field of
photography, the ordinary cameras are not capable of capturing the true dynamic range of a …