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Filtrage non-linéaire dynamique pour la compression des images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tramini, Stephane Antonini, Marc Barlaud, Michel Aubert, Gilles Upres-A, S. Cnrs Antipolis, Sophia Valrose, Parc |
| Copyright Year | 1997 |
| Abstract | Despite advances in the domain of source coding, little recent work has been devoted to the problem of joint coding and decoding. In particular, the design of decoders has been, to our knowledge, little investigated. Here, we break with this usual approach and consider the joint design of coding and decoding for still images. We propose sufficient conditions on the design of the decoder involving a priori assumptions on the solution and knowledge of the coder ( transformation and quantization). As linear filtering cannot take into account the nonlinearity associated with quantization nor the non-stationarity of images, we propose, in our approach, an optimization of the reconstruction filters at the decoder to account for effects due to quantization noise. The solution can be viewed as an inverse problem with optimization of the Transform/Quantization/Decoding structure formulated using a variational approach, resulting in a new approach for decoding by nonlinear filtering. Experiments using this nonlinear inverse dynamic filtering demonstrate PSNR gains over standard linear inverse filtering as well as appreciable visual improvements. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/12609/076_586.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
