- Research Article
- Open access
- Published:
A Complete Image Compression Scheme Based on Overlapped Block Transform with Post-Processing
EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 010968 (2006)
Abstract
A complete system was built for high-performance image compression based on overlapped block transform. Extensive simulations and comparative studies were carried out for still image compression including benchmark images (Lena and Barbara), synthetic aperture radar (SAR) images, and color images. We have achieved consistently better results than three commercial products in the market (a Summus wavelet codec, a baseline JPEG codec, and a JPEG-2000 codec) for most images that we used in this study. Included in the system are two post-processing techniques based on morphological and median filters for enhancing the perceptual quality of the reconstructed images. The proposed system also supports the enhancement of a small region of interest within an image, which is of interest in various applications such as target recognition and medical diagnosis
References
Kwan C, Li B, Xu R, et al.: SAR image compression using wavelets. Wavelet Applications VIII, 2001, Proceedings of SPIE 4391: 349–357.
Pennebaker WB, Mitchell JL: JPEG: Still Image Compression Standard. Van Nostrand Reinhold, New York, NY, USA; 1993.
Malvar HS: Signal Processing with Lapped Transforms. Artech House, Norwood, Mass, USA; 1992.
Malvar HS: Biorthogonal and nonuniform lapped transforms for transform coding with reduced blocking and ringing artifacts. IEEE Transactions on Signal Processing 1998, 46: 1043–1053. 10.1109/78.668555
Reeves HC, Lim JS: Reduction of blocking effects in image coding. Optical Engineering 1984, 23(1):34–37.
de Queiroz RL, Nguyen T, Rao KR: GenLOT: generalized linear-phase lapped orthogonal transform. IEEE Transactions on Signal Processing 1996, 44(3):497–507. 10.1109/78.489023
Tran T, Nguyen T:On-channel linear phase FIR filter banks and application in image compression. IEEE Transactions on Signal Processing 1997, 45(9):2175–2187. 10.1109/78.622942
Xiong Z, Ramchandran K, Orchard MT: Space-frequency quantization for wavelet image coding. IEEE Transactions on Image Processing 1997, 6(5):677–693. 10.1109/83.568925
Princen JP, Johnson AW, Bradley AB: Subband/transform coding using filter bank designs based on time domain aliasing cancellation. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '87), April 1987, Dallas, Tex, USA 2161–2164.
Shapiro JM: Embedded image coding using zerotrees of wavelet coefficients. IEEE Transactions on Signal Processing 1993, 41(12):3445–3462. 10.1109/78.258085
Said A, Pearlman WA: A new fast and efficient image codec on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology 1996, 6: 243–250. 10.1109/76.499834
Compression with reversible embedded wavelets RICOH Company Ltd. submission to ISO/IEC JTC1/SC29/WG1 for the JTC1.29.12 work item, 1995. Can be obtained on the World Wide Web, https://doi.org/www.crc.ricoh.com/CREW
Vaidyanathan PP: Multirate Systems and Filter Banks. Prentice-Hall, Englewood Cliffs, NJ, USA; 1993.
Strang G, Nguyen T: Wavelets and Filter Banks. Wellesley-Cambridge Press, Wellesley, Mass, USA; 1996.
Vetterli M, Kovačević J: Wavelets and Subband Coding. Prentice-Hall, Englewood Cliffs, NJ, USA; 1995.
DeVore RA, Jawerth B, Lucier BJ: Image compression through wavelet transform coding. IEEE Transactions on Information Theory 1992, 38(2, part II):719–746. 10.1109/18.119733
Daubechies I: Ten Lectures on Wavelets, CBMS Conference Series. SIAM, Philadelphia, Pa, USA; 1992.
Law NF, Siu WC: Successive structural analysis using wavelet transform for blocking artifacts suppression. Signal Processing 2001, 81(7):1373–1387. 10.1016/S0165-1684(01)00018-4
Zakhor A: Iterative procedures for reduction of blocking effects in transform image coding. IEEE Transactions on Circuits and Systems for Video Technology 1992, 2(1):91–95. 10.1109/76.134377
Yang Y, Galatsanos NP, Katsaggelos AK: Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images. IEEE Transactions on Circuits and Systems for Video Technology 1993, 3(6):421–432. 10.1109/76.260198
Yang Y, Galatsanos NP: Projection-based spatially adaptive reconstruction of block-transform compressed images. IEEE Transactions on Image Processing 1995, 4(7):896–908. 10.1109/83.392332
Kim SD, Yi J, Kim HM, Ra JB: A deblocking filter with two separate mode in block-based video coding. IEEE Transactions on Circuits and Systems for Video Technology 1999, 9(2):156–160.
Park HW, Lee YL: A post-processing method for reducing quantization effects in low bit-rate moving picture coding. IEEE Transactions on Circuits and Systems for Video Technology 1999, 9(2):161–171.
Liew AW-C, Yan H: Blocking artifacts suppression in blockcoded images using overcomplete wavelet representation. IEEE Transactions on Circuits and Systems for Video Technology 2004, 14(4):450–461. 10.1109/TCSVT.2004.825555
Weerasinghe C, Liew AW-C, Yan H: Artifact reduction in compressed images based on region homogeneity constraints using the projections onto convex sets algorithm. IEEE Transactions on Circuits and Systems for Video Technology 2002, 12(10):891–897. 10.1109/TCSVT.2002.804881
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Kwan, C., Li, B., Xu, R. et al. A Complete Image Compression Scheme Based on Overlapped Block Transform with Post-Processing. EURASIP J. Adv. Signal Process. 2006, 010968 (2006). https://doi.org/10.1155/ASP/2006/10968
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1155/ASP/2006/10968