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Image Reconstruction Based on Combination of Wavelet Decomposition, Inpainting and Texture Synthesis

Journal Article


Abstract


  • Digital inpainting provides a means for reconstruction of damaged portions of an image. Although the inpainting basics are straightforward, most inpainting techniques published in the literature are only suitable for remarkable small portion or smooth color image. In order to avoid such shortcomings, we present a new algorithm for digital reconstruction based on combination of wavelet decomposition, surface-based/PDE-based inpainting and texture synthesis. In this algorithm, wavelet transform firstly decomposes the image into high frequency and low frequency level parts. Subsequently, CSRBF which is generally used for surface interpolation or PDE-based inpainting is employed for low frequency level and texture synthesis is used for high frequency level. It results in that not only slight portion but also the common blotched image can be reconstructed with high quality. Especially, our algorithm makes large-size blotched image possible and becomes more efficient as compared to individual PDE-based and CSRBF approaches.

Publication Date


  • 2009

Citation


  • Chen, H., Hagiwara, I., & Tieu, A. K. (2009). Image Reconstruction Based on Combination of Wavelet Decomposition, Inpainting and Texture Synthesis. International Journal of Image and Graphics, 9(1), 51-65. doi:10.1142/S0219467809003332

Scopus Eid


  • 2-s2.0-84923214157

Start Page


  • 51

End Page


  • 65

Volume


  • 9

Issue


  • 1

Abstract


  • Digital inpainting provides a means for reconstruction of damaged portions of an image. Although the inpainting basics are straightforward, most inpainting techniques published in the literature are only suitable for remarkable small portion or smooth color image. In order to avoid such shortcomings, we present a new algorithm for digital reconstruction based on combination of wavelet decomposition, surface-based/PDE-based inpainting and texture synthesis. In this algorithm, wavelet transform firstly decomposes the image into high frequency and low frequency level parts. Subsequently, CSRBF which is generally used for surface interpolation or PDE-based inpainting is employed for low frequency level and texture synthesis is used for high frequency level. It results in that not only slight portion but also the common blotched image can be reconstructed with high quality. Especially, our algorithm makes large-size blotched image possible and becomes more efficient as compared to individual PDE-based and CSRBF approaches.

Publication Date


  • 2009

Citation


  • Chen, H., Hagiwara, I., & Tieu, A. K. (2009). Image Reconstruction Based on Combination of Wavelet Decomposition, Inpainting and Texture Synthesis. International Journal of Image and Graphics, 9(1), 51-65. doi:10.1142/S0219467809003332

Scopus Eid


  • 2-s2.0-84923214157

Start Page


  • 51

End Page


  • 65

Volume


  • 9

Issue


  • 1