Image restoration with broken curve prediction

Authors:
Hwei-Jen Lin;Chun-Wei Wang;Yuan-Chun Hsieh;Yang-Ta Kao
Affiliations:
Department of Computer Science and Information Engineering, Tamkang University, 151 Ying-chuan Rd., Tamsui, Taipei County, Taiwan 25137, Republic of China.;Department of Computer Science and Information Engineering, Tamkang University, 151 Ying-chuan Rd., Tamsui, Taipei County, Taiwan 25137, Republic of China.;Department of Computer Science and Information Engineering, Tamkang University, 151 Ying-chuan Rd., Tamsui, Taipei County, Taiwan 25137, Republic of China.;Department of Information Network Technology, ChihLee Institute of Technology, No. 313, Sec. 1, Wunhua Rd., Banciao City, Taipei County, Taiwan 220, Republic of China
Venue:
International Journal of Computational Vision and Robotics
Year:
2009

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Abstract

In this paper, a new approach is presented for the restoration of missing or damaged portions of an image. The algorithm first locates several feature points on the boundary of the damaged region of a given image. Broken curves are then automatically predicted and reconstructed by using the B-spline functions. Finally, a method that combines the advantages of texture synthesis and image inpainting is applied to restore the remaining damaged portion. Several experimental results provided demonstrate the achievements of the proposed technique.