Abstract

Purpose – The purpose of this paper is to present a new multi-image registration methodology that is able to align a set of hand-held bracketed shots. Design/methodology/approach – The procedure is a two-step algorithm where corresponding multi-image points are automatically extracted from the bracketed image sequence and a least squares adjustment recovers transformation parameters. Findings – The images can be processed with high dynamic range algorithms to combine multiple low dynamic range pictures into a single mosaic with a superior radiometric quality. Originality/value – Simulated and real examples are illustrated to prove the effectiveness of the developed affine-based procedure.

Highlights

  • Professional and consumer-grade digital cameras have had an incredible impact on people.Digital photography changed the way people capture, modify, and share images

  • High Dynamic Range (HDR) imagery is very attractive for expert photographers, and for beginners who want to store their special memories with an interesting photographic technique able to increase the radiometric resolution of the camera

  • 5 Conclusion This paper presented a new methodology able to align a set of bracketed images acquired with a hand-held digital camera, where several images are automatically resampled in order to obtain pixel correspondence for HDR image generation

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Summary

Introduction

Professional and consumer-grade digital cameras have had an incredible impact on people. A common digital camera acquires only Low Dynamic Range (LDR) images where the full dynamic range of light cannot be correctly reconstructed This sensor’s limitation can be removed by means of a set of multiple LDR images acquired with different exposures (bracketed images). Their use is quite simple and almost fully automated (Tiant et al, 2012) For these reasons, HDR imagery is very attractive for expert photographers (or expert operators involved in the fields where images are used for advanced purposes, for instance photogrammetry, virtual reality, computer vision, etc., see Barazzetti et al, 2011 and Cai et al, 2013), and for beginners who want to store their special memories with an interesting photographic technique able to increase the radiometric resolution of the camera. The set of bracketed pictures will be resampled in order to overlap with sub-pixel precision

Splitting a block into pairs
Pairwise matching
Matching multiple Low Dynamic Range images
Linear multi-image alignment
How to bracket photos
Geometric alignment of hand-held pictures
Conclusion
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