Disparity-based HDR imaging

TL;DR

This paper investigates methods for acquiring high-dynamic range (HDR) data in multi-stereo imaging, highlighting limitations of disparity-based registration and proposing heuristics to improve HDR reconstruction.

Contribution

It identifies limitations of disparity-based HDR methods and introduces heuristics to address problematic cases in multi-stereo HDR imaging.

Findings

Disparity-based registration has limitations in HDR reconstruction.

Heuristics can improve HDR acquisition in challenging cases.

Study provides insights into multi-stereo HDR imaging challenges.

Abstract

High-dynamic range imaging permits to extend the dynamic range of intensity values to get close to what the human eye is able to perceive. Although there has been a huge progress in the digital camera sensor range capacity, the need of capturing several exposures in order to reconstruct high-dynamic range values persist. In this paper, we present a study on how to acquire high-dynamic range values for multi-stereo images. In many papers, disparity has been used to register pixels of different images and guide the reconstruction. In this paper, we show the limitations of such approaches and propose heuristics as solutions to identified problematic cases.