Self organizing motor maps for color-mapped image re-indexing.
Palette re-ordering is an effective approach for improving the compression of color-indexed images. If the spatial distribution of the indexes in the image is smooth, greater compression ratios may be obtained. As is already known, obtaining an optimal re-indexing scheme is not a trivial task. In this paper, we provide a novel algorithm for palette re-ordering problem making use of a motor map neural network. Experimental results show the real effectiveness of the proposed method both in terms of compression ratio and zero-order entropy of local differences. Also, its computational complexity is competitive with previous works in the field.
Battiato
Sebastiano
S
Dipartimento di Matematica e Informatica, University of Catania, 95125 Catania, Italy. battiato@dmi.unict.it
Rundo
Francesco
F
Stanco
Filippo
F
D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods*; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted