TY - GEN
T1 - On the coupled forward and backward anisotropic diffusion scheme for color image enhancement
AU - Smolka, Bogdan
AU - Plataniotis, Konstantinos N.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
PY - 2002
Y1 - 2002
N2 - The use of low-level visual features to search and retrieve information in the multimedia databases has drawn much attention in the recent years [1,2]. Many of the existing techniques of image retrieval are based on image segmentation, which is a difficult task in many practical situations due to image noise and various compression artifacts. In this paper a novel approach to the problem of edge preserving smoothing, which allows to break an image into a set of homogeneous regions, is proposed and evaluated. The new algorithm is based on the combined forward and backward anisotropic diffusion with incorporated time dependent cooling process. This method is able to efficiently remove image noise while preserving and enhancing image edges. The proposed algorithm can be used as a first step of different techniques, which are based on color, shape and spatial location information, to search and retrieve information from multimedia databases.
AB - The use of low-level visual features to search and retrieve information in the multimedia databases has drawn much attention in the recent years [1,2]. Many of the existing techniques of image retrieval are based on image segmentation, which is a difficult task in many practical situations due to image noise and various compression artifacts. In this paper a novel approach to the problem of edge preserving smoothing, which allows to break an image into a set of homogeneous regions, is proposed and evaluated. The new algorithm is based on the combined forward and backward anisotropic diffusion with incorporated time dependent cooling process. This method is able to efficiently remove image noise while preserving and enhancing image edges. The proposed algorithm can be used as a first step of different techniques, which are based on color, shape and spatial location information, to search and retrieve information from multimedia databases.
UR - https://www.scopus.com/pages/publications/84937557016
U2 - 10.1007/3-540-45479-9_8
DO - 10.1007/3-540-45479-9_8
M3 - Conference contribution
AN - SCOPUS:84937557016
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 70
EP - 80
BT - Image and Video Retrieval - International Conference, CIVR 2002, Proceedings
A2 - Lew, Michael S.
A2 - Sebe, Nicu
A2 - Eakins, John P.
PB - Springer Verlag
T2 - International Conference on Image and Video Retrieval, CIVR 2002
Y2 - 18 July 2002 through 19 July 2002
ER -