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http://dx.doi.org/10.3837/tiis.2015.06.015

Quality Assessment of Images Projected Using Multiple Projectors  

Kakli, Muhammad Umer (SEECS, National University of Sciences and Technology (NUST))
Qureshi, Hassaan Saadat (SEECS, National University of Sciences and Technology (NUST))
Khan, Muhammad Murtaza (SEECS, National University of Sciences and Technology (NUST))
Hafiz, Rehan (SEECS, National University of Sciences and Technology (NUST))
Cho, Yongju (Electronics and Telecommunications Research Institute (ETRI), Daejon)
Park, Unsang (Dept. of Computer Science and Engineering, Sogang University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.6, 2015 , pp. 2230-2250 More about this Journal
Abstract
Multiple projectors with partially overlapping regions can be used to project a seamless image on a large projection surface. With the advent of high-resolution photography, such systems are gaining popularity. Experts set up such projection systems by subjectively identifying the types of errors induced by the system in the projected images and rectifying them by optimizing (correcting) the parameters associated with the system. This requires substantial time and effort, thus making it difficult to set up such systems. Moreover, comparing the performance of different multi-projector display (MPD) systems becomes difficult because of the subjective nature of evaluation. In this work, we present a framework to quantitatively determine the quality of an MPD system and any image projected using such a system. We have divided the quality assessment into geometric and photometric qualities. For geometric quality assessment, we use Feature Similarity Index (FSIM) and distance-based Scale Invariant Feature Transform (SIFT). For photometric quality assessment, we propose to use a measure incorporating Spectral Angle Mapper (SAM), Intensity Magnitude Ratio (IMR) and Perceptual Color Difference (ΔE). We have tested the proposed framework and demonstrated that it provides an acceptable method for both quantitative evaluation of MPD systems and estimation of the perceptual quality of any image projected by them.
Keywords
multi-projector display; geometric and photometric quality; quantitative quality assessment;
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1 D. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints,” International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.   DOI
2 G. Wallace, H. Chen and K. Li, "Color Gamut Matching for Tiled Display Walls," in Proc. of International Immersive Projection Technologies Workshop, Eurographics workshop on Virtual Environments, pp. 1-10, 2003.
3 B. Sajadi, M. Lazarov, M. Gopi and A. Majumder, “Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1317-1326, 2009.   DOI
4 M. Harville, B. Culbertson, I. Sobel, D. Gelb, A. Fitzhugh and D. Tanguay, "Practical Methods for Geometric and Photometric Correction of Titled Projector," in Proc. of Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), pp. 5, 2006.
5 L. Juan and O. Gwun, "SURF applied in Panorama Image Stitching," in Proc. of Second International Conference on Image Processing Theory Tools and Applications, pp. 495-499, 2010.
6 H. S. Qureshi, M. M. Khan, R. Hafiz and Y. Cho, “Quantitative Quality Assessment of Stitched Panoramic Images,” IET Image Processing, vol. 6, no. 9, pp. 1348-1358, 2011.   DOI
7 B. Sajadi, M. Lazrov and A. Majumder, "ADICT: Accurate Direct and Inverse Color Transformation," in Proc. of European Conference on Computer Vision, pp. 72-86, 2010.
8 L. Zhang, D. Zhang, M. Xuanqin and D. Zhang, “FSIM: A Feature Similarity Index for ImageQuality Assessment,” IEEE Transactions on Image Processing, vol. 20, no. 8, pp. 2378-2386, 2011.   DOI
9 L. Wald, Data Fusion: Definitions and Architectures - Fusion of Images of Different Spatial Resolutions, ISBN 2-911762-38-X, ENSMP, 2002.
10 Fairchild and Mark D., Color and Image Appearance Models, Color Appearance Models, John Wiley and Sons, 2005.
11 A. K. Moorthy and A. C. Bovik, “Visual Quality Assessment Algorithms: What does the future hold?,” Multimedia Tools and Applications Journal, vol. 51, no. 2, pp. 675-696, 2011.   DOI
12 M. Solh and G. Alregib, “MIQM: A Multicamera Image Quality Measure,” IEEE Transactions on Image Processing, vol. 21, no. 9, pp. 3902-3914, 2012.   DOI
13 B. Sajadi and A. Majumder, “Auto Calibrating Tiled Projectors on Piecewise Smooth Vertically Extruded Surfaces,” IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 9, pp. 1209-1222, 2011.   DOI
14 Atif Ahmed, R. Hafiz, M. M. Khan, Y. Cho and J. Cha, “Geometric Correction for Uneven Quadric Projection Surfaces Using Recursive Subdivision of Bezier Patches,” ETRI Journal, vol. 35, no. 6, pp. 1115-1125, 2013.   DOI
15 L. Zou, J. Chen and J. Zhang, “Assessment approach for image mosaicking algorithms,” Optical Engineering Letters, vol. 50, no. 11, pp. 1-3, 2011.
16 J. L. Starck and F. Murtagh, “Image Restoration with Noise Suppression Using the Wavelet Transform,” Astronomy and Astrophysics, vol. 288, no. 1, pp. 342-350, 1994.
17 M. Décombas, F. Dufaux, E. Renan, B. Pesquet-Popescu and F. Capman, "A New Object Based Quality Metric Based on SIFT and SSIM," in Proc. of IEEE Int'l Conference on Image Processing, Orlando, FL, USA, pp. 1493-1496, 2012.
18 G. Sharma, W. Wu and E. N. Dalal, “The CIEDE2000 Color-Difference Formula: Implementation Notes, Supplementary Test Data, and Mathematical Observations,” Color Research and Applications, vol. 30, no. 1, 2005.   DOI
19 J. Heinly, E. Dunn and J. Frahm, "Comparative Evaluation of Binary Features," in Proc. of Computer Vision - ECCV 2012, Lecture Notes in Computer Science, pp. 759-773, 2012.
20 T. J. Yang, Y. M. Tsai and L. G. Chen, "Smart Display: A Mobile Self-Adaptive Projector-Camera System," in Proc. of IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 2011.
21 Y. Yang, J. Ming and N. Yu, “Color Image Quality Assessment Based on CIEDE2000,” Advances in Multimedia, 2012. Doi:10.1155/2012/273723.   DOI
22 J. M. Seok and Y. Lee, “Visual-Attention-Aware Progressive RoI Trick Mode Streaming in Interactive Panoramic Video Service,” ETRI Journal, vol. 36, no. 2, pp. 253-263, 2014.   DOI