Embedded image coding based on novel organization of DCT coefficients

Debin Zhao; Yiu Keung Chan; Yan Lu

doi:10.1117/12.411540

28 December 2000 Embedded image coding based on novel organization of DCT coefficients

Debin Zhao, Yiu Keung Chan, Yan Lu

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411540
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Debin Zhao, Yiu Keung Chan, and Yan Lu "Embedded image coding based on novel organization of DCT coefficients", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411540

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