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Proceedings Paper

Embedded image coding based on novel organization of DCT coefficients
Author(s): Debin Zhao; Yiu Keung Chan; Yan Lu
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Paper Abstract

It is first presented in here that in addition to the well known property of energy compaction, novel organization of block-based DCT coefficients has similar characteristics to wavelet transform when taking an image as a single DCT clustering entity. These characteristics include cross-subband similarity, decay of magnitude across subband, etc. and can be exploited to obtain higher compression performance and to widen DCT applications. These applications include image retrieval and image recognition in which DCT has the advantage of lower computational complexity over wavelet based schemes. Secondly, an embedded image coder based on this novel coefficient organization strategy is then presented. To the best of our knowledge, the proposed coder outperforms any other DCT-based coder published in the literature in terms of compression performance. These other coders include EZDCT, EZHDCT, STQ, JPEG, etc. Using Lena image as an example, the proposed coder outperforms a version of EZDCT, EZHDCT, STQ and JPEG by an average of 0.5 dB, 0.5 dB, 1.1 dB and 1.5 dB in PSNR when bits-per-pixel(bpp) is between the range 0.125 to 1.00. This outstanding compression performance is achieved without using any optimal bit allocation procedure. Thus both the encoding and decoding procedures are fast.

Paper Details

Date Published: 28 December 2000
PDF: 10 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411540
Show Author Affiliations
Debin Zhao, City Univ. of Hong Kong (Hong Kong)
Yiu Keung Chan, City Univ. of Hong Kong (Hong Kong)
Yan Lu, City Univ. of Hong Kong (Hong Kong)


Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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