Image Compression by Redundancy Reduction
Image compression is achieved by reducing redundancy between neighboring pixels but preserving features such as edges and contours of the original image. Deterministic and statistical models are usually employed to reduce redundancy. Compression methods that use statistics have heavily been influenced by neuroscience research. In this work, we propose an image compression system based on the efficient coding concept derived from neural information processing models. The system performance is compared with principal component analysis (PCA) and the discrete cosine transform (DCT) at several compression ratios (CR). Evaluation through both visual inspection and objective measurements showed that the proposed system is more robust to distortions such as ringing and block artifacts than PCA and DCT.
Unable to display preview. Download preview PDF.
- 1.Kortamnl, C.M.: Redundancy Reduction-A Practical Method of Data Compression. Proc. of the IEEE 55(3), 223–226 (1967)Google Scholar
- 2.Barros, A.K., Chichocki, A.: Neural Coding by Redundancy Reduction and Correlation. In: Proc. of the VII Brazilian Symposium on Neural Networks (SBRN) (IEEE) (2002)Google Scholar
- 3.Ahmed, N., Natarajan, T., Rao, K.R.: Discrete Cosine Transform. IEEE Trans. Computers, 90–93 (1974)Google Scholar
- 5.Gibbs, J.W.: Fourier Series. Nature, 59 (1898)Google Scholar
- 7.Simoncelli, E.P., Olshausen, B.A.: Natural Image statistics and Neural Representation. Annu. Rev. Neurosci., 1193–216 (2001)Google Scholar
- 8.Dony, R.D., Haykin, S.: Proc. of IEEE Neural Network Approaches to Image Compression, vol. 83(2), pp. 288–303 (1995)Google Scholar
- 10.Guilhon, D., Barros, A.K.: ECG Compression by Efficient Coding. In: ICA (submitted, 2007)Google Scholar
- 11.Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. John Wiley and Sons, New York (2001)Google Scholar
- 13.Martinez, A.M., Benavente, R.: The AR Face Database. CVC Technical Report, vol. 24 (1998)Google Scholar
- 15.Huffman, D.A.: A method for the construction of minimum-redundancy codes. In: Proceedings of the I.R.E. pp. 1098–1102 (1952)Google Scholar
- 18.Ziou, D., Tabbone, S.: Edge Detection Techniques - An Overview. International Journal of Pattern Recognition and Image Analysis 8, 537–559 (1998)Google Scholar
- 19.Strijm, J., Cosmanb, P.C.: Medical image compression with lossless regions of interest. Signal Processing 59, 155–171 (1991)Google Scholar