- Research Article
- Open Access
Image Quality Assessment Using the Joint Spatial/Spatial-Frequency Representation
- Azeddine Beghdadi1Email author and
- Răzvan Iordache2
EURASIP Journal on Advances in Signal Processing20062006:080537
https://doi.org/10.1155/ASP/2006/80537
© Beghdadi and Iordache 2006
- Received: 9 December 2004
- Accepted: 9 March 2006
- Published: 1 December 2006
Abstract
This paper demonstrates the usefulness of spatial/spatial-frequency representations in image quality assessment by introducing a new image dissimilarity measure based on 2D Wigner-Ville distribution (WVD). The properties of 2D WVD are shortly reviewed, and the important issue of choosing the analytic image is emphasized. The WVD-based measure is shown to be correlated with subjective human evaluation, which is the premise towards an image quality assessor developed on this principle.
Keywords
- Analytic Image
- Information Technology
- Image Quality
- Quality Assessment
- Quantum Information
Authors’ Affiliations
(1)
L2TI-Institute Galilée, Université Paris 13, Villetaneuse, 93430, France
(2)
GE Healthcare Technologies, Buc, 78530, France
References
- Qian S, Chen D: Joint Time-Frequency Analysis: Methods and Applications. Prentice-Hall, Upper Saddle River, NJ, USA; 1994.Google Scholar
- Boashash B (Ed): Time-Frequency Signal Analysis and Processing: A Comprehensive Reference. Elsevier, Oxford, UK; 2003.Google Scholar
- Jacobson L, Wechsler H: The Wigner distribution as a tool for deriving an invariant representation of 2-D images. Proceedings of the International Conference on Pattern Recognition and Image Processing, June 1982, Las Vegas, Nev, USA 218–220.Google Scholar
- Reed TR, Wechsler H: Segmentation of textured images and Gestalt organization using spatial/spatial-frequency representations. IEEE Transactions on Pattern Analysis and Machine Intelligence 1990, 12(1):1–12. 10.1109/34.41379View ArticleGoogle Scholar
- Zhu YM, Goutte R, Amiel M: On the use of two-dimensional Wigner-Ville distribution for texture segmentation. Signal Processing 1993, 30(3):329–353. 10.1016/0165-1684(93)90016-4View ArticleGoogle Scholar
- Jacobson L, Wechsler H: Joint spatial/spatial-frequency representation. Signal Processing 1988, 14(1):37–68. 10.1016/0165-1684(88)90043-6View ArticleGoogle Scholar
- Cristóbal G, Hormigo J: Texture segmentation through eigen-analysis of the Pseudo-Wigner distribution. Pattern Recognition Letters 1999, 20(3):337–345. 10.1016/S0167-8655(99)00002-1View ArticleGoogle Scholar
- Stankovic S, Djurovic I, Pitas I: Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution. IEEE Transactions on Image Processing 2001, 10(4):650–658. 10.1109/83.913599View ArticleGoogle Scholar
- Iordache R, Beghdadi A: A Wigner-Ville distribution-based image dissimilarity measure. Proceedings of the 6th International Symposium on Signal Processing and Its Applications (ISSPA '01), August 2001, Kuala Lumpur, Malaysia 2: 430–433.Google Scholar
- Gabarda S, Cristóbal G: On the use of a joint spatial-frequency representation for the fusion of multi-focus images. Pattern Recognition Letters 2005, 26(16):2572–2578. 10.1016/j.patrec.2005.06.003View ArticleGoogle Scholar
- Special issue on image quality assessment Signal Processing 1998., 70:Google Scholar
- García-Pérez MA, Sierra-Vázquez V: Visual processing in the joint spatial/spatial-frequency domain. In Visual Models for Target Detection and Recognition. Edited by: Peli E. World Scientific, Hackensack, NJ, USA; 1995:16–62.View ArticleGoogle Scholar
- Eskicioglu AM, Fisher PS: Image quality measures and their performance. IEEE Transactions on Communications 1995, 43(12):2959–2965. 10.1109/26.477498View ArticleGoogle Scholar
- ITU-R Recommendation BT.500-7 : Methodology for the Subjective Assessment of the Quality of Television Pictures. ITU, Geneva, Switzerland, 1995Google Scholar
- Wang Z, Lu L, Bovik AC: Video quality assessment based on structural distortion measurement. Signal Processing: Image Communication 2004, 19(2):121–132. special issue on "Objective video quality metrics" 10.1016/S0923-5965(03)00076-6Google Scholar
- Bülow T, Sommer G: A novel approach to the 2d analytic signal. Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns (CAIP '99), September 1999, Ljubljana, Slovenia 25–32.View ArticleGoogle Scholar
- Hahn SL: Multidimensional complex signals with single-orthant spectra. Proceedings of the IEEE 1992, 80: 1287–1300. 10.1109/5.158601View ArticleGoogle Scholar
- Boashash B, Black PJ: An efficient real-time implementation of the Wigner-Ville distribution. IEEE Transactions on Acoustics, Speech, and Signal Processing 1987, 35(11):1611–1618. 10.1109/TASSP.1987.1165070View ArticleGoogle Scholar
- Homigo J, Cristobal G: High resolution spectral analysis of images using the pseudo-Wigner distribution. IEEE Transactions on Signal Processing 1998, 46(6):1757–1763. 10.1109/78.678519View ArticleGoogle Scholar
- Iordache R, Beghdadi A: Single-quadrant analytic images for 2-D discrete Wigner distribution. Proceedings of the 8th International Workshop on Systems, Signals and Image Processing (IWSSIP '01), June 2001, Bucharest, Romania 163–166.Google Scholar
- Malik J, Perona P: Preattentive texture discrimination with early vision mechanisms. Journal of the Optical Society of America 1990, 7(5):923–932. 10.1364/JOSAA.7.000923View ArticleGoogle Scholar
- Watson AB, Solomon JA: Model of visual contrast gain control and pattern masking. Journal of the Optical Society of America A: Optics and Image Science, and Vision 1997, 14(9):2379–2391. 10.1364/JOSAA.14.002379View ArticleGoogle Scholar
- Teo PC, Heeger DJ: Perceptual image distortion. Proceedings of the 1st IEEE International Conference on Image Processing, November 1994, Austin, Tex, USA 2: 982–986.View ArticleGoogle Scholar
- Beghdadi A, Pesquet-Popescu B: A new image distortion measure based on wavelet decomposition. Proceedings of the 6th International Symposium on Signal Processing and Its Applications (ISSPA '03), July 2003, Paris, France 1: 485–488.Google Scholar
- Sundaram RS, Prabhu KMM: Numerically stable algorithm for computing Wigner-Ville distribution. IEE Proceedings - Vision, Image, and Signal Processing 1997, 144(1):46–48. 10.1049/ip-vis:19970817View ArticleGoogle Scholar
Copyright
© Beghdadi and Iordache 2006