The HDR-video Pipeline

(a) Texel distribution of a typical HDR texture block in RGB space; (b) The distri- bution after color transform and local dynamic range reduction in local YUV space; (c) The

We investigate methods to recreate interior daylight for the model through Image- Based Lighting (IBL) [Deb98] using High Dynamic Range (HDR) environment maps from HDR photographs,

In this paper we propose a framework that will recognise objects from a moving platform using scale invariant features, high dynamic range (HDR) video and stereoscopic

We have presented some validation methods for identify- ing the quality of the expansion methods. These validation methods currently only cater for still images and IBL appli-

Comparisons of Low Dynamic Range (LDR) and HDR content are made to illustrate the additional data that this new technology is able to capture, and the benefits this is likely to

Our main contributions are sub-algorithms to i) Segment a painting using the recorded video of its creation, ii) Ex- tract key elements and their hierarchy from the video

Together with a CMOS/CCD image sensor, an Image Signal Processor (ISP) defines the image quality and the processing speed of the camera subsystem in mobile devices like smart- phones

We present a novel method for High Dynamic Range video where the critical phases of the pipeline are based on histograms.. It is possible to achieve high framerates, since the