Title :
A fast and efficient fuzzy color transfer method
Author :
Abadpour, Arash ; Kasaei, Shohreh
Author_Institution :
Math. Sci. Dept., Sharif Univ. of Technol., Tehran, Iran
Abstract :
Each image has its own color content that greatly influences the perception of human observer. Being able to transfer the color content of an image into another image, while preserving other features, (like texture), opens a new horizon in human-perception-based image processing. In this paper, after a brief review on the few efficient works performed in the field, a novel fuzzy principle component analysis (PCA) based color transfer method is proposed. The proposed method accomplishes the transformation based on a set of corresponding user-selected regions in images along with a blending ratio parameter set by the user. Results show more robustness and higher speed when comparing our proposed method with other available approaches.
Keywords :
image colour analysis; image texture; principal component analysis; visual perception; fuzzy color transfer method; human-perception-based image processing; principle component analysis; Humans; Image color analysis; Image processing; Mathematics; Natural languages; Painting; Performance analysis; Principal component analysis; Robustness; Statistics;
Conference_Titel :
Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
Print_ISBN :
0-7803-8689-2
DOI :
10.1109/ISSPIT.2004.1433825