TY - GEN
T1 - Mobile interface for adaptive image refinement using interactive evolutionary computing
AU - Jung, Tae Min
AU - Lee, Young Seol
AU - Cho, Sung Bae
PY - 2010
Y1 - 2010
N2 - Due to developing mobile devices and providing services like mobile blogs, people can easily share their thought and experience, at any place and any time. A picture is an important datum to record and share their thought and experience, while we can easily take pictures with a mobile device that has a camera in it. However, the quality is usually poor without image refinement. Many mobile devices provide a simply interface to improve the quality, but require knowledge of predefined filters or image enhancement to control the parameters. It causes the user to feel inconvenient in mobile environments for their real-time editing pictures. In this paper, we propose a novel image enhancement interface in consideration of the accessibility to the mobile environment and various constraints. A usability test with various images has been conducted to show its usefulness, and the proposed interface achieved better performance than the other through the SUS test.
AB - Due to developing mobile devices and providing services like mobile blogs, people can easily share their thought and experience, at any place and any time. A picture is an important datum to record and share their thought and experience, while we can easily take pictures with a mobile device that has a camera in it. However, the quality is usually poor without image refinement. Many mobile devices provide a simply interface to improve the quality, but require knowledge of predefined filters or image enhancement to control the parameters. It causes the user to feel inconvenient in mobile environments for their real-time editing pictures. In this paper, we propose a novel image enhancement interface in consideration of the accessibility to the mobile environment and various constraints. A usability test with various images has been conducted to show its usefulness, and the proposed interface achieved better performance than the other through the SUS test.
UR - http://www.scopus.com/inward/record.url?scp=79959405687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79959405687&partnerID=8YFLogxK
U2 - 10.1109/CEC.2010.5585966
DO - 10.1109/CEC.2010.5585966
M3 - Conference contribution
AN - SCOPUS:79959405687
SN - 9781424469109
T3 - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
Y2 - 18 July 2010 through 23 July 2010
ER -