High-resolution image generation using warping transformations
Paper
Paper/Presentation Title | High-resolution image generation using warping transformations |
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Presentation Type | Paper |
Authors | |
Author | Scarmana, Gabriel |
Editors | Assuncao, P. and Faria, S. |
Journal or Proceedings Title | Proceedings of the 2009 International Conference on Signal Processing and Multimedia Applications (SIGMAP 2009) |
ERA Conference ID | 73709 |
Journal Citation | 1, pp. 49-56 |
Number of Pages | 8 |
Year | 2009 |
Place of Publication | Milan, Italy |
ISBN | 9789896740078 |
Digital Object Identifier (DOI) | https://doi.org/10.5220/0002225900490056 |
Web Address (URL) of Paper | http://www.sigmap.icete.org/SIGMAP2009/ |
Conference/Event | 2009 International Conference on Signal Processing and Multimedia Applications (SIGMAP 2009) |
International Conference on Signal Processing and Multimedia Applications (SIGMAP) | |
Event Details | 2009 International Conference on Signal Processing and Multimedia Applications (SIGMAP 2009) Event Date 07 to end of 10 Jul 2009 Event Location Milan, Italy |
Event Details | International Conference on Signal Processing and Multimedia Applications (SIGMAP) SIGMAP |
Abstract | In recent years the emphasis for applications of 3D modelling has shifted from measurement to visualization. New communication and visualization technologies have created an important demand for photo-realistic content in 3D real-time animations, interactive fly-overs and walk-arounds, panoramic images, visualizations and simulations based on real-world data. These image-based approaches require acquisition procedures that are simple and flexible with the use of consumer photo- or video-cameras. Ideally the user should be able to move freely while acquiring the images with any device ranging from a mobile phone to a video camera. In this context, a device independent algorithm for the estimation of an enhanced resolution image from multiple low-resolution and distorted compressed video images having arbitrary views is proposed in this paper. This process of spatial image enhancement is demonstrated here in a controlled scenario whereby the different views of the same scene are warped, firstly, to a common orientation so that a rigorous least squares area-based matching technique can then compute the registration parameters needed for their accurate combination. The sequence is acquired using a digital camera in video mode, which samples the image of a static scene from different angles. The warping is an iterative process relying on manual intervention and is used here to compensate for the different range of scales and orientations of the low-resolution imagery. Once this imagery is brought into registration and complies with pre-established image correlation criteria, they are combined to recover a high-resolution composite. Although the quality and resolution of the sensor arrays used to capture digital data continue to evolve, it is important that any technique used to enhance spatial resolution must be device independent, thus capable of using input from not only low-resolution images but also from higher resolution devices. |
Keywords | warping transformations, digital image enhancement, sub-pixel registration |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
401304. Photogrammetry and remote sensing | |
460306. Image processing | |
Public Notes | Copyright c SciTePress. |
Byline Affiliations | Department of Main Roads, Queensland |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4yq0/high-resolution-image-generation-using-warping-transformations
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