On Dictionary Adaptation for Recurrent Pattern Image Coding

In this paper, we exploit a recently introduced coding algorithm called multidimensional multiscale parser (MMP) as an alternative to the traditional transform quantization-based methods. MMP uses approximate pattern matching with adaptive multiscale dictionaries that contain concatenations of scaled versions of previously encoded image blocks. We propose the use of predictive coding schemes that modify the source's probability distribution, in order to favour the efficiency of MMP's dictionary adaptation. Statistical conditioning is also used, allowing for an increased coding efficiency of the dictionaries' symbols. New dictionary design methods, that allow for an effective compromise

• Type: Journal
• Year: 2008
• Where: TIP
• Authors: Nuno M. M. Rodrigues, Eduardo A. B. da Silva, Murilo B. de Carvalho, Sérgio M. M. de Faria, Vítor Manuel Mendes da Silva
• Keywords: Adaptive Multiscale Dictionaries, Multidimensional Multiscale Parser, Predictive Coding Schemes, TIP 2008