Universal image coding using multiscale recurrent patterns and prediction

In this paper we present a new method for image coding that is able to achieve good results over a wide range of image types. This work is based on the Multidimensional Multiscale Parser (MMP) algorithm [1], allied with an intra frame image predictive coding scheme. MMP has been shown to have, for a large class of image data, including texts, graphics, mixed images and textures, a compression efficiency comparable (and, in several cases, well above) to the one of state-of-the-art encoders. However, for smooth grayscale images, its performance lags behind the one of wavelet-based encoders, as JPEG2000. In this paper we propose a novel encoder using MMP with intra predictive coding, similar to the one used in the H.264/AVC video coding standard. Experimental results show that this method closes the performance gap to JPEG

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Eduardo A. B. da Silva, Murilo B. de Carvalho, Nuno M. M. Rodrigues, Sérgio M. M. de Faria, Vítor Manuel Mendes da Silva
• Keywords: ICIP 2005, Image Processing, Multiscale Recurrent Patterns