New reversible saturation, vividness, blackness and whiteness models were developed based on a visual data. The aim of this study is to develop a model that can be applicable to imaging devices and to enhance the images by controlling one of the scales. It was found that the models gave good predictions with the NCS (Natural Colour System) data. The newly developed models are applicable to colour image evaluation and image enhancement.
|Title of host publication||CIC 2018 - 26th Color and Imaging Conference|
|Subtitle of host publication||Color Science and Engineering Systems, Technologies, and Applications, Technical Papers and Proceedings|
|Publisher||Society for Imaging Science and Technology|
|Number of pages||5|
|Publication status||Published - 2018|
|Event||26th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2018 - Vancouver, Canada|
Duration: 2018 Nov 12 → 2018 Nov 16
|Name||Final Program and Proceedings - IS and T/SID Color Imaging Conference|
|Other||26th Color and Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, CIC 2018|
|Period||18/11/12 → 18/11/16|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (NRF-2016R1A2A2A05921659).
© 2018, Society for Imaging Science and Technology.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics