Techniques for region coding in object-based image compression

Mark S. Schmalz

doi:10.1117/12.508005

28 January 2004 Techniques for region coding in object-based image compression

Mark S. Schmalz

Proceedings Volume 5208, Mathematics of Data/Image Coding, Compression, and Encryption VI, with Applications; (2004) https://doi.org/10.1117/12.508005
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

Object-based compression (OBC) is an emerging technology that combines region segmentation and coding to produce a compact representation of a digital image or video sequence. Previous research has focused on a variety of segmentation and representation techniques for regions that comprise an image. The author has previously suggested [1] partitioning of the OBC problem into three steps: (1) region segmentation, (2) region boundary extraction and compression, and (3) region contents compression. A companion paper [2] surveys implementationally feasible techniques for boundary compression. In this paper, we analyze several strategies for region contents compression, including lossless compression, lossy VPIC, EPIC, and EBLAST compression, wavelet-based coding (e.g., JPEG-2000), as well as texture matching approaches. This paper is part of a larger study that seeks to develop highly efficient compression algorithms for still and video imagery, which would eventually support automated object recognition (AOR) and semantic lookup of images in large databases or high-volume OBC-format datastreams. Example applications include querying journalistic archives, scientific or medical imaging, surveillance image processing and target tracking, as well as compression of video for transmission over the Internet. Analysis emphasizes time and space complexity, as well as sources of reconstruction error in decompressed imagery.

Citation Download Citation

Mark S. Schmalz "Techniques for region coding in object-based image compression", Proc. SPIE 5208, Mathematics of Data/Image Coding, Compression, and Encryption VI, with Applications, (28 January 2004); https://doi.org/10.1117/12.508005

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