Statistical Modeling of Huffman Tables Coding

An innovative algorithm for automatic generation of Huffman coding tables for semantic classes of digital images is presented. Collecting statistics over a large dataset of corresponding images, we generated Huffman tables for three images classes: landscape, portrait and document. Comparisons between the new tables and the JPEG standard coding tables, using also different quality settings, have shown the effectiveness of the proposed strategy in terms of final bit size (e.g. compression ratio).

• Type: Conference
• Year: 2005
• Where: ICIAP
• Authors: Sebastiano Battiato, Camillo Bosco, Arcangelo Bruna, Gianpiero di Blasi, Giovanni Gallo
• Keywords: Huffman Coding Tables, Huffman Tables, ICIAP 2005, Image Processing, Standard Coding Tables