Amélioration de la qualité visuelle d’images couleur dans le cadre du standard de compression JPEG2000

Amélioration de la qualité visuelle d’images couleur dans le cadre du standard de compression JPEG2000

Visual quality enhancement for color images in the framework of the JPEG2000 compression standard

Adrian Stoica Mohamed-Chaker Larabi  Christine Fernandez-Maloigne 

Laboratoire SIC – CNRS FRE 2731 – Université de Poitiers, Bat. SP2MI, Téléport 2, BP 30179 – 86962 FUTUROSCOPE Cedex – FRANCE

Page: 
661-677
|
Received: 
15 June 2004
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

In the last years, the consideration of different models of the Human Visual System (HVS) in the final perceived quality of the compressed images becomes a major research subject. Therefore, it is natural to take advantage of the recent knowledge on both perception and models of the human vision in an image compression system. Thus, in this paper we propose an integration method of that knowledge for the improvement of perceptual JPEG2000 image compression quality. This method consists on two parts: a laboratory evaluation of the HVS model by the Contrast Sensitivity Function (CSF), and an implementation technique of visual weightings for the JPEG2000 scheme, using the evaluated HVS model in the Fourier domain of the color image.

Résumé

Durant les dernières années, la prise en compte de modèles du Système Visuel Humain (SVH) dans l'évaluation de la qualité visuelle des images couleur compressées, est devenu un sujet de recherche majeur. Il semble naturel d'intégrer davantage les connaissances récentes sur la perception et la modélisation de la vision humaine, dans les systèmes de compression d'images. Ainsi, dans cet article, nous proposons une méthode d'intégration de ces connaissances pour l'augmentation de la qualité visuelle d'images compressées JPEG2000. Cette méthode consiste en deux parties: une évaluation de laboratoire pour la modélisation du SVH par la Fonction de Sensibilité au Contraste (CSF) et une technique de calcul de facteurs de pondération visuelle pour la compression JPEG2000, utilisant le modèle SVH évalué, dans le domaine de Fourier de l'image couleur.

Keywords: 

Color image, color image quality, human visual system, contrast sensitivity function, JPEG2000 image compression, visual weightings

Mots clés

Images couleur, qualité d'images couleur, système visuel humain, fonction de sensibilité au contraste, compression JPEG2000, facteurs de pondération visuelle

1. Introduction
2. Aperçu De JPEG2000
3. Modélisation Du Système Visuel Humain
4. Intégration Du SVH Dans La Compression JPEG2000
5. Résultats Et Discussions
6. Conclusions
  References

[AW04] M.D. ADAMS, R.K. WARD, JASPER : a portable flexible opensource software tool kit for image coding/processing, 2004.

[Bar99] P.G.J. BARTEN, Contrast sensitivity of the human eye and its effects on image quality, Spie optical engineering press, Washington, 1999.

[CR68] F. CAMPBELL, J. ROBSON, Application of fourier analysis to the visibility of gratings, Journal of Physiology, 197: 551–566, 1968.

[DAT82] R.L. DEVALOIS, D.G. ALBRECHT, L.G. THORELL, Spatial frequency selectivity of cells in the macaque visual cortex, Vision Research, 22:545–559, 1982.

[Dau80] J.G. DAUGMAN, Two-dimensional spectral analysis of the of cortical receptive field profiles, Vision Research, 20(10) : 847–856, 1980.

[GH73] E. M. GRANGER, J.C. HEURTLEY, Visual chromaticity-modulation transfer funcion. J. Opt. Soc. Am., 63(9): 1173–1174, 1973.

[Gla83] D.L. GLANZMAN, Spatial properties of cells in the rabbit’s striate cortex, Journal of Physiology, 340: 535–553, 1983.

[ISO00] ISO, Information technology – JPEG 2000 image coding system. Technical report, ISO/IEC FDIS15444-1: 2000, 2000.

[ITU00] ITU, ITU-R recommendation BT.500-10: Methodology for the subjective assessment of the quality of television pictures. Technical report, ITU, Geneva, Switzerland, 2000.

[KZ85] R.E. KRONAUER, Y.Y. ZEEVI, Reorganization and diversification of signals in vision. IEEE Transactions on Systems, Man and Cybernetics, 15(1) : 91–101, 1985.

[LK98] Y.-K. LAI, C.-C. J. KUO, Wavelet image compression with optimized perceptual quality, In Applications of Digital Image Processing XXI, San Diego, CA, 1998. SPIE.

[Mic27] A. MICHELSON, Studies in Optics, Phd thesis, University of Chicago, 1927.

[MKA98] M. MIYAHARA, K. KOTANI, V.R. ALGAZI, Objective picture quality scale (pqs) for image coding, IEEE Transactions on Communications, 46(9) : 1215-1226, 1998.

[MM96] A.B. METHA, K.T. MULLEN, Temporal mechanisms underlying flicker detection and identification for red-green and achromatic stimuli, Journal of the Optical Society of America, 13(10) :1969–1980, 1996.

[MS74] J.L. MANNOS, D.J. SAKRISON, The effects of a visual fidelity criterion on the encoding of images, IEEE Trans, On Information Theory, IT-20(4): 525-536, July 1974.

[Mul85] K.T. MULLEN, The contrast sensitivity of human colour vision to red-green and blue-yellow chromatic gratings, Journal of Physiology, 359: 381-400,1985.

[NR99] M. NADENAU, J. REICHEL. Compression of color images with wavelets under consideration of the hvs. In SPIE Human Vision and Electronic Imaging, volume 3644, pp. 237-242, San Jose, CA, 1999.

[NRK03] M. J. NADENAU, J. REICHEL, M. KUNT, Wavelet-based color image compression: Exploing the contrast sensitivity function, IEEE Transactions on Image Processing, 12(1) : 58-70, 2003.

[OT86] A.L. OLZAK, J.P. THOMAS, Seeing spatial patterns. In L. Kaufman R. Boff and J.P. Thomas editors, editors, Handbook of Perception and Human Performance, volume 1, chapter 7. John Wiley & Sons, 1986.

[PL62] J.J. DE PALMA, E.M. LOWRY, Sine-wave response of the visual system. ii sine-wave and square-wave contrast sensitivity, Journal of the Optical Society of America, 52(3): 328-335, 1962.

[PR83] D. A. POLLEN, S.F. RONNER, Visual cortical neurons as localized spatial frequency filters, IEEE Transactions on Systems, Man, and Cybernetics, 13(5) : 907-916, 1983.

[pro00] JJ2000 PROJECT, JJ2000 : A JAVA implementation of JPEG 2000, white paper, Technical report, 2000.

[PW93] A.B. POIRSON, B.A. WANDELL, Appearance of colored patterns: patterncolor separability, Optics and Image Science, 10(12): 2458–2470, 1993.

[PW96] A.B. POIRSON, B.A. WANDELL, Pattern-color separable pathways predict sensitivity to simple colored patterns, Vision-Research, 36(4) : 515-526, 1996.

[SB82] B. SAKITT, H.B. BARLOW, A model for the economical encoding of the visual image in cerebral cortex, Biological Cybernetics, 50: 43-97, 1982.

[SCE01] A. SKODRAS, C. CHRISTOPOULOS, T. EBRAHIMI, The JPEG 2000 still image compression standard. IEEE Signal Processing Magazine, 18(5), pp. 36-58, 2001.

[Tau03] D.S. TAUBMAN, Kakadu survey documentation, Technical report, Kakadu Web Site, http ://kakadusoftware.com/, 2003.

[TM02] D.S. TAUBMAN, M.W. MARCELLIN, JPEG2000 image compression fundamentals, standards and practice. Kluwer Academic Publishers, 2002.

[Wan95] B.A. Wandell, Foundations of Vision, Sinauer Associates, Inc., Sunderland MA, 1995.

[WYSV97] A.B. WATSON, G.Y. YANG, J.A. SOLOMON, J. VILLASENOR. Visual thresholds for wavelet quantization error. In SPIE Human Vision and Electronic Imaging, volume 2657, 1997.

[ZDL00] W. ZENG, S. DALY, S. LEI, Point-wise extended visual masking for JPEG2000 image compression. In IEEE International Conference on Image Processing, Vancouver, Canada, Sept 2000.

[ZG81] E. ZRENNER, P. GOURAS, Characteristics of the blue sensitive cone mechanism in primate retinal ganglion cells, Vision Research, 21: 1605-1609, 1981.