Abstract
Regarding text region as region of interest (ROI) and assigning higher bit budget to ROIs than rest regions, ROI-based text image compression can provide both higher quality for text regions and higher compression ratio for an entire text image. JPEG2000 is a high performance image compression standard for common images but has no special optimization for text images. After image characteristic analysis, this paper proposed a natural scene text image compression method based on JPEG2000 ROI coding. ROI coding parameters are optimized for text regions. In this stage, the redundancy analysis is used to measure compression capability of different regions and scale factors in ROI coding are adjusted adaptively. With the specially designed optimization, the proposed method shows practicality in real applications. The experiment results show the improvement of compression performance which verifies the optimization effectiveness.
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Zhu, Y., Song, L. (2014). Natural Scene Text Image Compression Using JPEG2000 ROI Coding. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_51
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DOI: https://doi.org/10.1007/978-3-662-45643-9_51
Publisher Name: Springer, Berlin, Heidelberg
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