Progressive content access to databases of JPEG compressed images
- Main information
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Progressive content access provides a mode that allows a coarse version of an image being viewed at a lower computing cost and then gradually refined by subsequent resolution enhancement if required. This proves extremely useful when millions of compressed images and video sequences need to be browsed manually or processed in pixel domain, saving the cost and removing the necessity of full decompression. In this paper, we propose such a progressive content access algorithm suitable for all DCT-based JPEG and MPEG compressed files. We first develop a theoretical model in approximation of cosine function used in IDCT with various orders. Following that, we then propose a progressive content access algorithm, which comprehends both the successive approximation and the spectral selection. Further analysis and experiments are reported to show that our proposed algorithm saves computational cost in comparison with JPEG full decompression. Extensive experiments also support that the proposed algorithm achieves encouraging PSNR values for reconstructed images even with lower order approximation. No referenced Knowhow defined WP5: Detection, Extraction and Annotation of Knowledge. School of Informatics University of Bradford Jianmin Jiang 2008-03-06 19:25 Request for more detail
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For LIVE project internal research purposes only. For LIVE project internal development purposes only.
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Copyright School of Informatics, University of Bradford. Add to LIVE's Intellectual Property Watch List Add to LIVE's Intellectual Property Watch List Add to LIVE's Intellectual Property Watch List Other See Comments Section: IET Image Processing, Vol 1, No 2, 2007, pp 207-214, ISSN: 1751-9667; Closed, attachment is not public
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