An overview of the visual optimization tools in JPEG 2000

The human visual system plays a key role in the final perceived quality of the compressed images. It is therefore desirable to allow system designers and users to take advantage of the current knowledge of visual perception and models in a compression system. In this paper, we review the various tools in JPEG 2000 that allow its users to exploit many properties of the human visual system such as spatial frequency sensitivity, color sensitivity, and the visual masking effects. We show that the visual tool sets in JPEG 2000 are much richer than what is achievable in JPEG, where only spatially invariant frequency weighting can be exploited. As a result, the visually optimized JPEG 2000 images can usually have much better visual quality than the visually optimized JPEG images at the same bit rates. Some visual comparisons between different visual optimization tools, as well as some visual comparisons between JPEG 2000 and JPEG, will be shown.

[1]  Wenjun Zeng,et al.  Point-wise extended visual masking for JPEG-2000 image compression , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[2]  Jin Li Visual progressive coding , 1998, Electronic Imaging.

[3]  David S. Taubman,et al.  High performance scalable image compression with EBCOT , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[4]  Julien Reichel,et al.  Opponent Color, Human Vision and Wavelets for Image Compression , 1999, Color Imaging Conference.

[5]  Roger S. Gaborski,et al.  Comparative study of wavelet and discrete cosine transform (DCT) decompositions with equivalent quantization and encoding strategies for medical images , 1995, Medical Imaging.

[6]  Andrew B. Watson,et al.  DCT quantization matrices visually optimized for individual images , 1993, Electronic Imaging.

[7]  R. J. Safranek,et al.  A perceptually tuned sub-band image coder with image dependent quantization and post-quantization data compression , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[8]  J. Roufs Dynamic properties of vision. I. Experimental relationships between flicker and flash thresholds. , 1972, Vision research.

[9]  T. Caelli,et al.  Visual sensitivity to two-dimensional spatial phase. , 1982, Journal of the Optical Society of America.

[10]  Scott J. Daly,et al.  Visible differences predictor: an algorithm for the assessment of image fidelity , 1992, Electronic Imaging.

[11]  Edward H. Adelson,et al.  Orthogonal Pyramid Transforms For Image Coding. , 1987, Other Conferences.

[12]  Thrasyvoulos N. Pappas,et al.  Supra-threshold perceptual image coding , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[13]  Andrew B. Watson,et al.  Image quality and entropy masking , 1997, Electronic Imaging.

[14]  M. J. Nadenau,et al.  Compression of color images with wavelets under consideration of the HVS , 1999 .

[15]  Sarah A. Rajala,et al.  Second Generation Hybrid Image-Coding Techniques , 1986, Other Conferences.

[16]  Charles A. Poynton,et al.  A technical introduction to digital video , 1996 .

[17]  A B Watson,et al.  Efficiency of a model human image code. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[18]  John D. Villasenor,et al.  Visibility of wavelet quantization noise , 1997, IEEE Transactions on Image Processing.

[19]  Lina J. Karam,et al.  APIC: adaptive perceptual image coding based on subband decomposition with locally adaptive perceptual weighting , 1997, Proceedings of International Conference on Image Processing.

[20]  Shawmin Lei,et al.  Visual masking in wavelet compression for JPEG-2000 , 2000, Electronic Imaging.

[21]  J. Rovamo,et al.  Visual resolution, contrast sensitivity, and the cortical magnification factor , 2004, Experimental Brain Research.

[22]  I. Rentschler,et al.  The detection of phase shifts in two-dimensional images , 1985, Perception & psychophysics.

[23]  Andrew Leung,et al.  Motion-JPEG2000 standardization and target market , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[24]  Christian J. Van Den Branden Lambrecht A working spatio-temporal model of the human visual system for image restoration and quality assessment applications , 1996, ICASSP.