Unsupervised and supervised approaches to color space transformation for image coding

2014 IEEE International Conference on Image Processing, ICIP 2014

Volumn , Issue , 2014, Pages 5576-5580

  Minervini, Massimo ^a   Rusu, Cristian ^a   Tsaftaris, Sotirios A ^a  

^a IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

Author keywords

color space transformation; Image compression; JPEG 2000; statistical learning

Indexed keywords

COLOR; COMPACTION; IMAGE CODING; IMAGE COMPRESSION; IMAGE PROCESSING; IMAGE SEGMENTATION; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; METADATA;

CHANNEL DECORRELATION; CLASSIFIER PERFORMANCE; COLOR SPACE TRANSFORMATION; COMPRESSION PERFORMANCE; FISHER DISCRIMINATION CRITERIONS; JPEG 2000; SPATIAL DECORRELATION; STATISTICAL LEARNING;

IMAGE CLASSIFICATION;

EID: 84933540828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2014.7026128     Document Type: Conference Paper

References (25)

1. W. K. Pratt, "Spatial transform coding of color images," IEEE Trans. Commun. Technol., vol. 19, no. 6, pp. 980-992, Dec. 1971.
2. Studio encoding parameters of digital television for standard 4:3 and wide-screen 16:9 aspect ratios, ITU-R Recommendation BT. 601-5, Oct. 1995.
3. C. B. Rubinstein and J. O. Limb, "Statistical dependence between components of a differentially quantized color signal," IEEE Trans. Commun., vol. 20, no. 5, pp. 890-899, Oct. 1972.
4. S. G. Wolf, R. Ginosar, and Y. Y. Zeevi, "Spatiochromatic model for colour image processing," in Int. Conf. on Pattern Recognition, vol. 1, 1994, pp. 599-601.
5. R. K. Kouassi, J. C. Devaux, P. Gouton, and M. Paindavoine, "Application of the Karhunen-Loeve transform for natural color images analysis," in Asilomar Conf. on Signals, Systems & Comp., vol. 2, 1997, pp. 1740-1744.
6. E. Gershikov and M. Porat, "Does decorrelation really improve color image compression" in Int. Conf. on Systems Theory and Scientific Computation (ISTASC), Sep. 2005, pp. 306-309.
7. S.-E. Han, B. Tao, T. Cooper, and I. Tastl, "Comparison between different color transformations for the JPEG 2000," in PICS 2000: Image Processing, Image Quality, Image Capture, Systems Conf., Mar. 2000, pp. 259-263.
8. A. A. Kassim and W. S. Lee, "Embedded color image coding using SPIHT with partially linked spatial orientation trees," IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 2, pp. 203-206, Feb. 2003.
9. Y. Chen, P. Hao, and A. Dang, "Optimal transform in perceptually uniform color space and its application in image coding," in Int. Conf. on Image Analysis and Recognition (ICIAR), Oct. 2004, pp. 269-276.
10. Q. Du and J. E. Fowler, "Hyperspectral image compression using JPEG2000 and principal component analysis," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 2, pp. 201-205, Apr. 2007.
11. P. Hao and Q. Shi, "Comparative study of color transforms for image coding and derivation of integer reversible color transform," in Int. Conf. on Pattern Recognition (ICPR), vol. 3, 2000, pp. 224-227.
12. H. M. Kim, W.-S. Kim, and D.-S. Cho, "A new color transform for RGB coding," in Int. Conf. on Image Processing (ICIP), Oct. 2004, pp. 107-110.
13. H. S. Malvar, G. J. Sullivan, and S. Srinivasan, "Liftingbased reversible color transformations for image compression," in Proceedings of SPIE, Applications of Digital Image Processing XXXI, vol. 7073, Sep. 2008.
14. R. Kountchev and R. Kountcheva, "New method for adaptive Karhunen-Loeve color transform," in Int. Conf. on Telecommun. in Modern Satellite, Cable, and Broadcasting Services (TELSIKS), Oct. 2009, pp. 209-216.
15. B. Penna, T. Tillo, E. Magli, and G. Olmo, "A new low complexity KLT for lossy hyperspectral data compression," in Int. Geoscience and Remote Sensing Symp. (IGARSS), vol. 7, Aug. 2006, pp. 3525-3528.
16. Q. Du and J. E. Fowler, "Low-complexity principal component analysis for hyperspectral image compression," Int. J. of High Performance Computing Applications, vol. 22, no. 4, pp. 438-448, Nov. 2008.
17. E. Soyak, S. A. Tsaftaris, and A. K. Katsaggelos, "Lowcomplexity tracking-aware H. 264 video compression for transportation surveillance," IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 10, pp. 1378-1389, Oct. 2011.
18. B. M. Dogahe and M. N. Murthi, "Quantization for classification accuracy in high-rate quantizers," in Digital Signal Process. Workshop, Jan. 2011, pp. 277-282.
19. P. H. Schönemann, "A generalized solution of the orthogonal Procrustes problem," Psychometrika, vol. 31, no. 1, pp. 1-10, Mar. 1966.
20. D. H. Foley and J. W. Sammon, "An optimal set of discriminant vectors," IEEE Trans. Comput., vol. C-24, no. 3, pp. 281-289, 1975.
21. Z. Jin, J.-Y. Yang, Z.-S. Hu, and Z. Lou, "Face recognition based on the uncorrelated discriminant transformation," Pattern Recognition, vol. 34, no. 7, pp. 1405-1416, Mar. 2001.
22. A. Skodras, C. Christopoulos, and T. Ebrahimi, "The JPEG 2000 still image compression standard," IEEE Signal Process. Mag., vol. 18, no. 5, pp. 36-58, 2001.
23. M. Minervini and S. A. Tsaftaris, "Application-aware image compression for low cost and distributed plant phenotyping," in Int. Conf. on Digital Signal Processing (DSP), Jul. 2013, pp. 1-6.
24. M. Minervini, M. M. Abdelsamea, and S. A. Tsaftaris, "Image-based plant phenotyping with incremental learning and active contours," Ecol. Inform., 2013.
25. D. Marpe, H. Kirchhoffer, V. George, P. Kauff, and T. Wiegand, "Macroblock-adaptive residual color space transforms for 4:4:4 video coding," in Int. Conf. on Image Processing (ICIP), Oct. 2006, pp. 3157-3160.