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This paper proposes a post-processing technique for reducing tile boundary artifacts which occur in an image when it is compressed at low bit rate using JPEG2000 standard. Symmetric extension and difference in quantization accuracy between the tiles of the image are the main factors behind the tile boundary artifacts in JPEG2000 compressed images. In this paper, the authors have analyzed the effect of quantization on the region of the tile boundaries of JPEG2000 compressed images. The analysis confirms that tiling artifacts are reduced by updating the high pass reconstructed samples lying on the boundary of the image tiles where the artifacts occur.
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