Artículos de revistas
Statistical Models For Quality Criteria Of Image Compression Algorithms
Registro en:
Random Operators And Stochastic Equations. , v. 8, n. 3, p. 225 - 244, 2000.
9266364
2-s2.0-84867972411
Autor
De Hoyos A.
Allan Leskow L.
Institución
Resumen
The main purpose of this work was to develop statistical models that would allow us to define efficient quality criteria for image compression algorithms. The statistical models were developed using several Multivariate Analysis techniques as well as some ideas that come from Information Theory. For testing the image quality models, four different and very popular image compression algorithms were used. Moreover, for efficiency comparison purposes, a poll was used to obtain a subjective measure of image quality. As a result of this work two new statistical image quality criteria were developed that in general behave better than the classical ones based on a global measure of the Mean Quadratic Error. © 2000 VSP. 8 3 225 244 Baran, N., Fractal compression goes on-line (1993) Byte, 18 (10), p. 40. , September Barnsley, A.D., Sloan, M.E., A better way to compress images (1988) Byte, 13 (1), pp. 215-223. , January Barnsley, M., (1988) Fractals Everywere, , Academic Press, Inc. Boston Daubechies, I., (1992) Ten Lectures on Wavelets, , SIAM Davidson, C., Rock, D., Wavelets and honn: Pix-perfect marriage. ai expert (1995) The Magazine of Artificial Intelligence in Practice, 10 (1), pp. 31-35. , January Davis, G., Self-quantized wavelet subtrees: A wavelet-based theory of fractal image compression (1995) Wavelets and Applications I-Proc. SPIE 2491, pp. 141-152. , H. H. Szu, editor Orlando, April De Hoyos, A.J., Corbera, R.P., Estudio comparativo de operadores de borda utilizando el latim (1991) Proceedings of the v Latin American Remote Sensing Symposium, pp. 452-458. , Selper Cuzco Fisher, Y., (1995) Fractal Image Compression Theory and Application, , Springer, Verlag, New York Gower, J.C., Legendre, P., Metric and euclidian properties of dissimilarity coefficients (1986) Journal of Classification, 3, pp. 397-405 Hiirtgen, B., Simon, S.F., On the problem of convergence in fractal coding schemes (1994) IEEE International Conference on Image Processing ICIP'9, pp. 103-106. , Austin, Texas, November Karunasekera, S.A., Kingsbury, N.G., A distortion measure for blocking artifacts in images based on human visual sensivity (1995) IEEE Transactions on Image Processing, 4 (6), pp. 713-723 Lewinson, L., Fractal databases New horizons in database management (1994) PC AI, pp. 30-33. , April Mallat, S.G., Multiresolution approximations and wavelet orthonormal bases of l 2(R) (1989) Transactions of the American Mathematical Society, 315 (1), pp. 69-87 Mallat, S.G., A theory for multiresolution signal decomposition: The wavelet representation (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 (7), pp. 674-693 Mandelbrot, B.B., (1983) The Fractal Geometry of Nature, , Freeman, New York Mathai, A.M., Rathie, P.N., (1975) Basic Concepts in Information Theory and Statistics, , Wiley Eastern Limited, New Delhi Meyer, Y., Ryan, R.P., (1993) Wavelets Algorithms and Applications, , SIAM, Philadelphia Murray, J.D., Vanryper, W., (1994) Encyclopedia of Graphics File Formats, , O'Reilly and Associates, Inc. Sebastopol Oien, G.E., Parameter quantization in fractal image coding (1994) IEEE International Conference on Image Processing IGIP'94, pp. 142-146. , Austin, Texas, November Rosenfeld, A., Kak, A.C., (1982) Digital Picture Processing, 1. , Academic Press, Inc., San Diego, second edition Strang, G., Nguyen, F., (1995) Wavelets and Filters Banks, , Workshop Notes San Jose State University January Wallace, G.K., The jpeg still picture compression standard (1991) Communications of the ACM, 34 (4), pp. 31-44