Region-of-Interest (ROI) techniques are often utilized in natural still-image coding standards such as JPEG2000 [1]. In contrast, document image coding typically adopts multi-layer methods [2], using a carefully selected algorithm for each layer to optimize overall performance. In this paper, an ROI-based method is proposed for multi-component document image coding, where rectangular textual ROI's are easily extracted using standard document image analysis techniques. Compared to multi-layer methods, the method is simpler and scalable, while preserving comparable visual quality at equivalent PSNR. © Springer-Verlag 2004.
CITATION STYLE
Yin, X. W., Downton, A. C., Fleury, M., & He, J. (2004). Multi-component document image coding using regions-of-interest. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3163, 158–169. https://doi.org/10.1007/978-3-540-28640-0_15
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