Content

  • Color Constancy
  • Under arbitrary illumination of an object, human eyes estimate the illuminant using integrated judgment; that is, the scene is corrected by the human visual system. However, artificial imaging systems are unable to recover images without access to the original illuminant, thus digital cameras include embedded color constancy algorithms. To solve this problem, we propose an illuminant compensation method using a camera noise analysis without segmentation.




  • Color Appearance Model
  • Changes in the ambient conditions vary the sensitivities of the human visual system when watching a display, resulting in different perceptions under altered viewing conditions despite the same stimulus. Therefore, since a viewerĄ¯s peripheral environment can be affected by artificial illumination, daylight, or fading light, algorithms are needed that can reproduce colors on a display under various types of ambient lightings as the viewing conditions are always changing.




  • Panoramic Imaging
  • Image stitching has recently been attracting interest as an effective way of increasing the restricted field of view of a camera by combining a set of separate images into a single seamless image. This technique has already been widely applied to such areas as video compression, video indexing, image alignment, and panoramic videos, where panoramic technology in particular has been applied to lens falloff, exposure mismatches, and vignettes. As such, this paper focuses on how to derive clues from an image to implement panoramic technology.




  • Image Dehazing
  • Sunlight is transmitted to the observer through absorption, scattering, and re-emission in the atmosphere. Thus, in the case of inclement weather, images captured by a camera are degraded by haze that is dependent on the depth. In this study, the focus is a dehazing method for a single image.






Projects

       
  1. Development of Highly Efficient Fire Detection Algorithm and its Flatform, funded by the Korea Institute for the Advancement of Technology. (7/2014 ~ 4/2015)
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  3. Development of Image Enhancement Algorithm for 3D SMART TV Based on Next OLED Displays, funded by National Research Foundation of Korea. (5/2014 ~ 4/2015)
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  5. Development of Prior Danger Sensing System for Switchboard, funded by Small and Medium Business Administration. (6/2014 ~ 12/2014)
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  7. Development of Image Enhancement Algorithm for 3D SMART TV Based on Next OLED Displays, funded by National Research Foundation of Korea. (5/2013 ~ 4/2014)
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  9. Development of Image Enhancement Algorithm for 3D SMART TV Based on Next OLED Displays, funded by National Research Foundation of Korea. (5/2012 ~ 4/2013)
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  11. Research on Surface Reflectance Modeling for Next-Generation Multi-Primary Systems, funded by Korea Research Foundation. (10/2008 ~ 9/2009)