A Novel Color Image Compression Algorithm Using the Human Visual Contrast Sensitivity Characteristics

Juncai YAO; Guizhong LIU

doi:10.1007/s13320-016-0355-3

[1] F. Zhou and Q. Liao, “Single-frame image super-resolution inspired by perceptual criteria,” IET Image Processing, 2015, 9(1): 1.11.

[2] R. Starosolski, “New simple and efficient color space transformations for lossless image compression,” Journal of Visual Communication and Image Representation, 2014, 25(5): 1056.1063.

[3] X. Wang, G. Y. Jiang, J. M. Zhou, Y. Zhang, F. Shao, Z. Peng, et al., “Visibility threshold of compressed stereoscopic image: effects of asymmetrical coding,” Journal of Imaging Science, 2013, 61(2): 172.182.

[4] F. Douak, R. Benzid, and N. Benoudjit, “Color image compression algorithm based on the DCT transform combined to an adaptive block scanning,” AEU International Journal of Electronics and Communications, 2011, 65(1): 16.26.

[5] R. J. Cintra and F. M. Bayer, “A DCT approximation for image compression,” IEEE Signal Processing Letters, 2011, 18(10): 579.582.

[6] A. Bhatt and K. B. Ashutosh, “Image compression algorithms under JPEG with lapped orthogonal transform and discrete cosine transformation,” International Journal of Engineering Research and Development, 2013, 7(3): 6.10.

[7] C. Chou and K. Liu, “Color image compression based on the measure of just noticeable color difference,” IET Image Processing, 2008, 2(6): 304.322.

[8] Z. Lu, W. Lin, X. Yang, E. P. Ong, and S. Yao, “Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation,” IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2005, 14(11): 1928.1942.

[9] G. Cheng, J. C. Huang, C. Zhu, and Z. Liu, “Perceptual image quality assessment using a geometric structural distortion model,” in 17th IEEE International Conference on Image Processing, Cairo, pp. 325.328, 2010.

[10] E. Peli, “Contrast sensitivity functions and image discrimination,” Journal of the Optical Society of America A, 2001, 18(2): 283.293.

[11] A. B. Watson, “Visual optimization of DCT quantization matrices for individual images,” in Proceedings of 9th Computing in Aerospace Conference, San Diego, pp. 286.291, 1993.

[12] M. J. Nadenau, J. Reichel, and M. Kunt, “Wavelet-based color image compression: exploiting the contrast sensitivity function,” IEEE Transactions on Image Processing, 2003, 12(1): 58.70.

[13] L. Jimenez-Rodriguez, F. Auli-Llinas, and M. W. Marcellin, “Visually lossless strategies to decode and transmit JPEG2000 imagery,” IEEE Signal Processing Letters, 2014, 21(1): 35.38.

[14] G. Sreelekha and P. S. Sathidevi, “An HVS based adaptive quantization scheme for the compression of color images,” Digital Signal Processing, 2010, 20(4): 1129.1149.

[15] N. A. Abu, F. Ernawan, and N. Suryana, “A generic psychovisual error threshold for the quantization table generation on JPEG image compression,” in Proceedings-2013 IEEE 9th International Colloquium on Signal Processing and Its Applications, Shah Alam Selangor, pp. 39.43, 2013.

[16] M. Nadenau, “Integration of human color vision models into high quality image compression,” Ph. D dissertation, Swiss Federal Institute of Technology, Switzerland, 2000.

[17] K. T. Mullen. “The contrast sensitivity of human color vision to red-green and blue-yellow chromatic gratings,” The Journal of Physiology, 1985, 359(1): 381.400

[18] J. Yao, “Measurements of human vision contrast sensitivity to opposite colors using a CRT display,” Chinese Science Bulletin, 2011, 56(23): 2425.2432.

[19] G. Ginesu, F. Massidda, and D. D. Giusto, “A multi-factors approach for image quality assessment based on a human visual system model,” Signal Processing: Image Communication, 2006, 21(4): 316.333.

[20] Y. Ou, Y. Xue, and Y. Wang, “Q-STAR: a perceptual video quality model considering impact of spatial, temporal, and amplitude resolutions,” IEEE Transactions on Image Processing, 2014, 23(6): 2473.2486.

[21] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Transactions on Image Processing, 2004, 13(4): 600.612.