Multi-source Local Color Transfer Based on Texture Similarity

WANG Xuesong; CAO Ge; CHENG Yuhu

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Article Navigation > Chinese Journal of Electronics > 2014 > 23(4): 718-722

WANG Xuesong, CAO Ge, CHENG Yuhu, “Multi-source Local Color Transfer Based on Texture Similarity,” Chinese Journal of Electronics, vol. 23, no. 4, pp. 718-722, 2014,

Citation:

WANG Xuesong, CAO Ge, CHENG Yuhu, “Multi-source Local Color Transfer Based on Texture Similarity,” Chinese Journal of Electronics, vol. 23, no. 4, pp. 718-722, 2014,

WANG Xuesong, CAO Ge, CHENG Yuhu, “Multi-source Local Color Transfer Based on Texture Similarity,” Chinese Journal of Electronics, vol. 23, no. 4, pp. 718-722, 2014,

Citation:

WANG Xuesong, CAO Ge, CHENG Yuhu, “Multi-source Local Color Transfer Based on Texture Similarity,” Chinese Journal of Electronics, vol. 23, no. 4, pp. 718-722, 2014,

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Multi-source Local Color Transfer Based on Texture Similarity

School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China

Funds: This work is supported by National Natural Science Foundation of China (No.61072094, No.61273143), Program for New Century Excellent Talents in University (No.NCET-10-0765), Specialized Research Fund for the Doctoral Program of Higher Education of China (No.20110095110016, No.20120095110025), Fok Ying-Tung Education Foundation for Young Teachers (No.121066).

Received Date: 2013-03-01
Rev Recd Date: 2013-04-01
Publish Date: 2014-10-05

Abstract

Abstract

In order to realize automatic region matching between source and target images, a multi-source local color transfer algorithm based on texture similarity is proposed.The source and target images are segmented into a set of regions using an image segmentation algorithm. It computes the texture features of each region through the gray level co-occurrence matrix and then constructs corresponding texture feature vectors. The authors measure the relevance between the target and source regions by computing the Euclidean distance between corresponding texture feature vectors. The source region having the largest relevance with the target region is selected as the transfer source. Complete the color transfer by performing color space transformation and linear conversion on color values. Experimental results concerning on multi-source local color transfer and gray image colorization verify the validity of the proposed algorithm.
- Texture similarity,
- Gray level co-occurrence matrix,
- Color transfer,
- Multi-source transfer,
- Local transfer

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References(16)

References

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