3D RGB image compression for interactive applications

Authors:
Chandrajit Bajaj;Insung Ihm;Sanghun Park
Affiliations:
Univ. of Texas at Austin, Austin;Sogang Univ., Seoul, Korea;Univ. of Texas at Austin, Austin
Venue:
ACM Transactions on Graphics (TOG)
Year:
2001

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Abstract

This paper presents a new 3D RGB image compression scheme designed for interactive real-time applications. In designing our compression method, we have compromised between two important goals: high compression ratio and fast random access ability, and have tried to minimize the overhead caused during run-time reconstruction. Our compression technique is suitable for applications wherein data are accessed in a somewhat unpredictable fashion, and real-time performance of decompression is necessary. The experimental results on three different kinds of 3D images from medical imaging, image-based rendering, and solid texture mapping suggest that the compression method can be used effectively in developing real-time applications that must handle large volume data, made of color samples taken in three- or higher-dimensional space.