Abstract
Abstract. Image stabilisation (IS) is a family of approaches whose aim is to reduce motion blur in still images and shaking effect in video frames. A variety of techniques are currently implemented in cameras and camcorders: some involve hardware solutions, other are software approaches. In general, IS for still photography entails hardware in-camera or in-lens solutions. Video stabilisation, on the other hand, can be accomplished with software algorithms, either in real-time within the camera or in post-processing.Whereas IS aids photography and video making, its influence on the photogrammetric 3D modelling process has not been investigated. This article addresses this aspect. To this purpose, several laboratory and real-world tests were carried out, whose results showed that IS must be disabled when accuracy matters in photogrammetric projects. Details are provided in the manuscript.
Highlights
IntroductionMany factors contribute to the sharpness of an image: the wavelength of the imaged electromagnetic radiation, the size of the lens aperture (the primary influencer of depth of field and the amount of diffraction softening), incorrect focusing, monochromatic lens aberrations (such as coma, astigmatism, and spherical aberration), longitudinal/axial and transverse/lateral chromatic aberrations, the amount and type of image noise plus possible denoising measures
Many factors contribute to the sharpness of an image: the wavelength of the imaged electromagnetic radiation, the size of the lens aperture, incorrect focusing, monochromatic lens aberrations, longitudinal/axial and transverse/lateral chromatic aberrations, the amount and type of image noise plus possible denoising measures
In this article we focus on optical stabilisation (OIS) and electronic IS (EIS) and their impact on the photogrammetric process
Summary
Many factors contribute to the sharpness of an image: the wavelength of the imaged electromagnetic radiation, the size of the lens aperture (the primary influencer of depth of field and the amount of diffraction softening), incorrect focusing, monochromatic lens aberrations (such as coma, astigmatism, and spherical aberration), longitudinal/axial and transverse/lateral chromatic aberrations, the amount and type of image noise plus possible denoising measures. In situations where the object/scene is static, several techniques exist to extend this exposure time (i.e. slowing down the shutter speed): either via extra camera support (passive like a tripod or active via a gimbal) or exploiting a function available in most photographic systems, i.e. the image stabilisation. This function can mean the difference between a blurry picture and a sharp one, its use in photogrammetric image acquisition is usually discouraged as it continuously changes the camera’s interior orientation. This paper wants to check if this advice is valid by delving into image stabilisation techniques and quantifying their possible negative influence on the photogrammetric process
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