An objective measure for perceived noise

Signal Processing

Volumn 49, Issue 3, 1996, Pages 187-206

  Kayargadde, Vishwakumara ^a   Martens, Jean Bernard ^a  

^a Institute for Perception Research Eindhoven   (Netherlands)

Author keywords

Image quality; Noise estimation; Noisiness; Visual perception

Indexed keywords

CORRELATION THEORY; IMAGE PROCESSING; PARAMETER ESTIMATION; PERFORMANCE; PROBABILITY DENSITY FUNCTION; SIGNAL FILTERING AND PREDICTION; WHITE NOISE;

ADDITIVE WHITE NOISE; CORRELATION LENGTH; LOCAL GRADIENT AMPLITUDE; NOISE INDEX; NON WHITE NOISE; STANDARD DEVIATION;

ALGORITHMS;

EID: 0030103665     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(96)00016-3     Document Type: Article

References (38)

1. H.C. Andrews and B.R. Hunt, Digital Image Restoration, Prentice-Hall, Englewood Cliffs, NJ, 1977.
2. P. Besl and R. Jain, "Segmentation through variable-order surface fitting", IEEE Trans. Pattern Anal. Machine Intell., Vol. 10, 1988, pp. 167-192.
3. R. Bracho and A. Sanderson, "Segmentation of images based on intensity gradient information", Proc. CVPR-85, IEEE Conf. on Computer vision and Pattern Recognition, San Franscisco, 1985, pp. 341-347.
4. J. Canny, "A computational approach to edge detection", IEEE Trans. Pattern Anal. Machine Intell., Vol. 8, 1986, pp. 679-698.
5. CCIR, "Method for the subjective assessment of the quality of television pictures, CCIR-R 500-4", in: Recommendations and Reports of the International Telecommunication Union, Geneva, 1990.
6. G. Demoment, "Image reconstruction and restoration: Overview of common estimation structures and problems", IEEE Trans. Acoust. Speech Signal Process., Vol. 37, 1989, pp. 2024-2036.
7. B. Escalante Ramirez, Perceptually-assessed digital processing of medical images, Doctoral Thesis, Eindhoven Univ. of Technology, 1992.
8. B. Escalante Ramirez and J.B. Martens, "Noise reduction in computerized tomography images by means of polynomial transform", J. Visual Commun Image Representations, Vol. 3, 1992, pp. 272-285.
9. B. Girod, "The information theoretical significance of spatial and temporal masking in video signals", SPIE Human Vision, Visual Process, Digital Display, Vol. 1077, 1989, pp. 178-187.
10. B. Girod, "What's wrong with mean-squared error?", in: A.B. Watson, ed., Digital Images and Human Vision, A Bradford Book, MIT Press, London 1993.
11. J.S. Goodman and D.E. Pearson, "Multidimensional scaling of multiply-impaired television pictures", IEEE Trans. Systems Man and Cybern., Vol. 9, 1979, pp. 353-356.
12. W.L. Hays, Statistics, 4th Edition, Holt, Rinehart and Winston, New York, 1988.
13. T.S. Huang, "The subjective effect of two-dimensional pictorial noise", IEEE Trans. Inform. Theory, Vol. II, 1965, pp. 43-53.
14. R.W.G. Hunt, "Colour terminology', Color Res. Appl., Vol. 3, 1978, pp. 79-87.
15. B.R. Hunt and G.F. Sera, "Power-law stimulus-response models for measures of image quality in nonperformance environments", IEEE Trans. System Man Cybern., Vol. 8, 1978, pp. 781-791.
16. V. Kayargadde, Feature extraction for image quality prediction, Doctoral Thesis, Eindhoven Univ. of Technology, 1995.
17. V. Kayargadde and J.B. Martens, "Estimation of edge parameters and image blur using polynomial transforms", CVGIP: Graphical Models Image Process., Vol. 56, 1994, pp. 442-461.
18. V. Kayargadde and J.B. Martens, "Estimation of perceived image blur using edge features", Internat. J. Imaging Systems Technol., 1995, To be published.
19. J.-S. Lee, "Refined filtering of image noise using local statistics", Comput. Vision Graphics Image Process., Vol. 15, 1981, pp. 380-389.
20. J.S. Lee and K. Hoppel, "Noise modeling and estimation of remotely-sensed images", Proc. 1989 IEEE Internat. Conf. on Geoscience and Remore Sensing, Vancouver, Vol. 2, 1989, pp. 1005-1008.
21. H. Marmolin and A. Carlström, Visibility of noise in homogeneous and textured areas, FAO Report, C 50010-H2, Swedish National Defense Research Institute, Stockholm, 1985.
22. H. Marmolin and S. Nyberg, Multidimensional scaling of subjective image quality, FAO Report, C 30039-H9, Swedish National Defense Research Institute, Stockholm, 1975.
23. J.B. Martens, "The Hermite transform-theory", IEEE Trans. Acoust. Speech Signal Process., Vol. 38, 1990, pp. 1595-1606.
24. J.B. Martens, "Adaptive contrast enhancement by residue-image processing", Signal Processing, Vol. 44, 1995, pp. 1-18.
25. P. Meer, J. Jolin and A. Rosenfeld, "A fast parallel algorithm for blind estimation of noise variance", IEEE Trans. Pattern Anal. Machine Intell., Vol. 12, 1990, pp. 216-223.
26. M. Morgan, G. Mather, B. Moulden and R. Watt, "Intensity-response nonlinearities and the theory of edge localization, Vision Res., Vol. 24, 1984, pp. 713-719.
27. T. Nakayama, M. Kurosu, K. Honjyo and T. Nishimoto, "Evaluation and prediction of displayed image quality", Proc. SID. 80 Digest, 1980, pp. 180-181.
28. M. Nijenhuis, Sampling and Interpolation of static images: A perceptual view, Doctoral Thesis, Eindhoven Univ. of Technology, Eindhoven, 1993.
29. S.I. Olsen, "Estimation of noise in images: An evaluation", CVGIP: Graph. Models Image Process., Vol. 55, 1993, pp. 319-323.
30. W.M.C.J. van Overveld, "The effect of gamma on subjective quality and contrast of X-ray images", in: H.L. Kundel, ed., Medical Imaging 1994; Image Perception, Proc. SPIE-Int. Society for Optical Eng., Newport Beach, California, Vol. 2166, 1994, pp. 96-104.
31. A. Papoulis, Probability, Random Variables and Stochastic Processes, McGraw-Hill, New York, 1991.
32. C. Poynton, "Gamma and its disguises: The nonlinear mappings of intensity in perception, CRTs, film and video", SMPTE J., Vol. 102, 1993, pp. 1099-1108.
33. H. de Ridder and G. Majoor, "Numerical category scaling: An efficient method for assessing digital image coding impairments", SPIE Human Vision Electronic Imaging: Models, Methods Appl, Vol. 1249, 1990, pp. 65-77.
34. A. Rosenfeld and A. Kak, Digital Picture Processing, 2nd Edition, Vols. 1 and 2, Academic Press, New York, 1982.
35. J.A.J. Roufs, F. Blommaert and H. de Ridder, "Brightness-luminance relations: future developments in the light of the past", Proc. 22nd CIE session, Melbourne, 2-11 July 1991, CIE Pub. No 91, 1991, pp. 135-148.
36. W.S. Torgerson, Theory and Methods of Scaling, Wiley, New York, 1958.
37. H. Voorhees and T. Poggio, "Detecting texons and texture boundaries in natural images", Proc. I IEEE Internat. Conf. on Computer Vision, London, 1987, pp. 250-258.
38. H. Wilson and J. Bergen, "A four mechanism model for threshold spatial vision", Vision Res., Vol. 19, 1979, pp. 19-32.