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Image Cognizance through Fuzion - Blending
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 96 - Number 22 |
| Year of Publication: 2014 |
| Authors: Disha Suru, Sunil Karamchandani |
10.5120/16925-6895
|
Disha Suru, Sunil Karamchandani . Image Cognizance through Fuzion - Blending. International Journal of Computer Applications. 96, 22 ( June 2014), 13-16. DOI=10.5120/16925-6895
Abstract
High dynamic range (HDR) imaging from a set of sequential exposures is not an easy way to capture high quality images of static scenes due either observational constraints or design constraints. It also suffers from artifacts for scenes with significant motion. In this paper, we proposed a new approach to HDR reconstruction that not only draws information but also it is more robust to camera scene motion than previous techniques because it simply utilize single image. As proposed method based on single image fusion, alignment process is completely neglected. This allows us to produce and HDR result which is more accurately represent the range of intensity levels found in real scenes, ranging from direct sunlight to faint starlight. The main aim of this is to reproduce what the human eye can see in terms of exposure and that offer a heightened view of reality with grater saturation and tonal range.
References
- P. E. Debevec and J. Malik. Recovering high dynamic range Radiance maps from photographs. In SIGGRAPH '97:Proceeding of the 24th annual conference on Computer Graphics and interactive techniques, pages 369-378, New York,NY, USA, 1997. ACM Press/Addison- Wesley Publishing Co.
- S. Mann and R. Picard. Being 'undigital' with digitalCameras: Extending dynamic range by combining differently exposed pictures. In Proceedings of IS &T 46th annual conference. pages 422–428, May 1995.
- E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec. High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting. Morgan Kaufmann Publishers, Dec. 2005.
- Vavilin, K. Jo, "Fast HDR image generation frommulti-exposed multiple-view LDR images", IEEE Trans. , vol. 4 pp. 105-110, July 2011.
- Y. Bandoh, Qui Guoping, M. Okuda, S. Dal, "Recent Advances in High Dynamic Range imaging technology," IEEE Trans. Image processing, vol. 11, pp 3125-3128. , Sept 2010.
- Jung Gap Kuk, Nam Ik Cho, Sang Uk Lee, "High Dynamic Range imaging by Gradient domain fusion," IEEE Trans. Image Process. , vol. 10, no. 5, pp. 1461-1464, May 2011.
- J. DiCarlo and B. Wandell. Rendering high dynamic range images,. In Proceedings of SPIE, volume 3965, Jan. 2000.
- Shinnichi Kimura, Masato Terakura, Hirotaka Sawada, HighPerformance Visual Monitoring System For IKAROS,Advances in Microelectronic Engineering (AIME) Volume Issue 3, July 2013
- Yan Wang, " Fast clear single underwater image", IEEE Trans. Computational Intelligence and software engineering, pp. 1-4, Dec 2010.
- Yunpeng Ma, " The mathematic magic of blend modes For image processing", IEEE Trans . on multimedia Technology, pp. 5159-5161, July 2011.
- H. Ibrahim, N. S. P. Kang," Brightness preserving dynamic histogram equalization for image contrast enhancement",IEEE Trans. on vol. 53, pp. 1752-1758, Nov 2007.
- R. T. Whitaker, " A level-set approach to image blending",IEEE Trans. on vol. 9, pp. 1849-1861, Nov 2000.
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