Abstract
To eliminate the mosaic and "bell" effects due to cumulative errors during large object image inpainting,the Markov Random Fields(MRF) exemplar inpainting based on dual-tree complex wavelet domain was proposed.The image was converted to complex-frequency domain by Dual-Tree Complex Wavelet Transform(DTCWT) and the exemplar inpainting order was computed by rational confidence and data item,the unknown region was inpainted based on multiscale and multiband.The inpainted images were reconstructed by dual-tree complex wavelet inverse transform.The experimental results show that compared with classical discrete wavelet methods,the mosaic and "bell" effects can be avoided and the more favorable textural and structural information can be preserved.
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