The effect of jpeg compression in close range photogrammetry
Abstract
Digital photogrammetry, using digital camera images, is an important low-cost engineering method to produce precise three-dimensional model of either an object or the part of the earth depending on the image quality. Photogrammetry which is cheaper and more practical than the new technologies such as LIDAR, has increased point cloud generation capacity during the past decade with contributions of computer vision. Images of new camera technologies needs huge storage space due to larger image file sizes. Moreover, this enormousness increases image process time during extraction, orientation and dense matching. The Joint Photographic Experts Group (JPEG) is one of the most commonly used methods as lossy compression standard for the storage purposes of the oversized image file. Particularly, image compression at different rates causes image deteriorations during the processing period. Therefore, the compression rates affect accuracy of photogrammetric measurements. In this study, the close range images compressed at the different levels were investigated to define the compression effect on photogrammetric results, such as orientation parameters and 3D point cloud. The outcomes of this study show that lower compression ratios are acceptable in photogrammetric process when moderate accuracy is sufficient.
Keywords
References
- Ahmed N., Natarajan T., and Rao K., 1974. Discrete cosine transform, IEEE Trans. Comput., vol. C-23, pp.90 -93 1974.
- Akcay, O., 2015. Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry. ISPRS International Journal of Geo-Information, 4(4), 2131-2158.
- Avsar, E. Ö., Altan, M. O., Doğan, Ü. A., and Akça, D., 2015. Determining Pull-Out Deformations by Means of an Online Photogrammetry Monitoring System. International Journal of Environment and Geoinformatics, 2(1).
- Bay, H., Tuytelaars, T., and Van Gool, L., 2006. Surf: Speeded up robust features. In Computer vision–ECCV 2006 pp. 404-417. Springer Berlin Heidelberg.
- Chao, J., Chen, H., and Steinbach, E., 2013. On the design of a novel JPEG quantization table for improved feature detection performance. In Image Processing (ICIP), 2013 20th IEEE International Conference on (pp. 1675-1679). IEEE.
- Christopoulos, C.A. , Skodras, A.N. and Ebrahimi, T., 2000. The JPEG 2000 still image coding system: An overview, IEEE Trans. Consumer Electron, vol. 46, pp.1103 -1127 2000.
- Cronk S., 2001. The Effects of JPEG Image Compression On Digital Close-Range Photogrammetry, Report, Melbourne.
- Furukawa Y. and Ponce J., 2007 Accurate, Dense, and Robust Multi-View Stereopsis, CVPR 2007.
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Özgün Akçay
CANAKKALE ONSEKIZ MART UNIV
Türkiye
Ramazan Cüneyt Erenoğlu
CANAKKALE ONSEKIZ MART UNIV
Türkiye
Emin Özgür Avşar
CANAKKALE ONSEKIZ MART UNIV
Türkiye
Publication Date
February 1, 2017
Submission Date
January 12, 2017
Acceptance Date
January 28, 2017
Published in Issue
Year 2017 Volume: 2 Number: 1
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