Notice of RetractionA novel image deblocking method based on curvelet transform

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Image block effect is due to the quantification process using Discrete Cosine Transform (DCT) to compression coding, which dumps some frequency, and leads to noticeable discontinuous leaps. A deblocking algorithm based on curvelet transform is proposed in this paper. This algorithm processes the curvelet coefficients separately which obtained by curvelet transform of the degraded images to recovery the images. The coefficients corresponding to block effect of the original image can be found for every layer and different layers using different methods. Then new coefficient matrixes are obtained, using which images are reconstructed. Experiments show that the algorithm retains more details and generates better recovery results than the traditional spatial domain and wavelet deblocking methods which used commonly on both subjective and objective evaluations.