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Investigation on Image Quality of Smartphone Cameras as Compared with a DSLR Camera by Using Target Image Edges
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  • Journal title : Korean Journal of Remote Sensing
  • Volume 32, Issue 1,  2016, pp.49-60
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2016.32.1.5
 Title & Authors
Investigation on Image Quality of Smartphone Cameras as Compared with a DSLR Camera by Using Target Image Edges
Seo, Suyoung;
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 Abstract
This paper presents a set of methods to evaluate the image quality of smartphone cameras as compared with that of a DSLR camera. In recent years, smartphone cameras have been used broadly for many purposes. As the performance of smartphone cameras has been enhanced considerably, they can be considered to be used for precise mapping instead of metric cameras. To evaluate the possibility, we tested the quality of one DSLR camera and 3 smartphone cameras. In the first step, we compare the amount of lens distortions inherent in each camera using camera calibration sheet images. Then, we acquired target sheet images, extracted reference lines from them and evaluated the geometric quality of smartphone cameras based on the amount of errors occurring in fitting a straight line to observed points. In addition, we present a method to evaluate the radiometric quality of the images taken by each camera based on planar fitting errors. Also, we propose a method to quantify the geometric quality of the selected camera using edge displacements observed in target sheet images. The experimental results show that the geometric and radiometric qualities of smartphone cameras are comparable to those of a DSLR camera except lens distortion parameters.
 Keywords
Smartphone;image quality;geometric accuracy;radiometric accuracy;edge displacement;
 Language
English
 Cited by
 References
1.
Akca, D. and A. Gruen, 2009. Comparative geometric and radiometric evaluation of mobile phone and still video cameras, The Photogrammetric Record, 24(127): 217-245. crossref(new window)

2.
Basu, M., 2002. Gaussian-based edge-detection methods - a survey, IEEE Transaction on Systems, Man and Cybernetics, 32(3): 252-260. crossref(new window)

3.
Canny, J., 1986. A computational approach to edge detection, IEEE Transaction o Pattern Analysis Machine Intelligence., PAMI-8(6): 679-698. crossref(new window)

4.
Chen, P., F. Chen, Y. Han, and Z. Zhang, 2014. Subpixel dimensional measurement with Logistic edge model, Optik, 125: 2076-2080. crossref(new window)

5.
Cheng, S.-C. and T.-L. Wu, 2005. Subpixel edge detection of color images by principal axis analysis and moment-preserving principle, Pattern Recognition, 38: 527-537. crossref(new window)

6.
Hagara, M. and P. Kulla, 2011. Edge detection with sub-pixel accuracy based on approximation of edge with Erf function, Radioengineering, 20(2): 516-524.

7.
Kim, J.S., C.G. Jin, S.K. Lee, S.G. Lee, and C.U. Choi, 2011. Geometric calibration and accuracy evaluation of smartphone camera, Journal of the Korean Society for Geospatial Information Science, 19(3): 115-125 (in Korean with English abstract).

8.
Lindeberg, T., 1998. Edge detection and ridge detection with automatic scale selection, International Journal of Computer Vision, 30(2): 117-154. crossref(new window)

9.
Lyvers, E.P., O.R. Mitchell, M.L. Akey, and A.P. Reeves, 1989. Subpixel measurements using a moment-based edge operator, IEEE Transaction on Pattern Analysis Machine Intelligence, 11(12): 1293-1309. crossref(new window)

10.
Papari, G. and N. Petkov, 2011. Edge and line oriented contour detection: state of the art, Image and Vision Computing, 29: 79-103. crossref(new window)

11.
Tabatabai, A. and R. Mitchell, 1984. Edge location to subpixel values in digital imagery, IEEE Transaction on Pattern Analysis and Machine Intelligence, 1984, PAMI-6(2): 188-201. crossref(new window)

12.
Trujillo-Pino, A., K. Krissian, M. Aleman-Flores, and D. Santana-Cedres, 2013. Accurate subpixel edge location based on partial area effect, Image and Vision Computing, 31: 72-90. crossref(new window)

13.
Wolf, P.R. and B.A. Dewitt, 2000. Elements of Photogrammetry with Applications in GIS, McGraw Hill, Madison, WI, USA.

14.
Ye, J., G. Fu, and U.P. Poudel, 2005. High-accuracy edge detection with blurred edge model, Image and Vision Computing, 23: 453-467. crossref(new window)

15.
Ziou, D. and S. Tabbone, 1998. Edge detection techniques - an overview, International Journal of Pattern Recognition and Image Analysis, 8: 537-559.