Gibbs effect appears inevitable in the decoded image can result in filter DFB. In this paper, through in-depth study of the nature of WBCT transform domain analysis of the causes of WBCT Gibbs effect, transformed itself in the parameter selection gives a solution, and in the transform domain creatively put forward the direction of the weighted model, in a WBCT The best way in JPEG2000 coding framework.
In this research, we perform a multiresolution analysis of the mappings used in fractal image compression. We derive the transform-domain structure of the mappings and demonstrate a close connection between fractal image compression and wavelet transform coding using the Haar basis. We show that under certain conditions, the mappings correspond to a hierarchy of affine mappings between the subbands of the transformed image. Our analysis provides new insights into the mechanism underlying fractal image compression, leads to a new non-iterative transform-domain decoding algorithm, and suggests a new transform-domain encoding method with extensions to wavelets other than the Haar transform.
Deep Image Compression in the Wavelet Transform Domain Based on High Frequency Sub-Band Prediction