[1] M N Do, M Vetterli. Contourlets: A directional multiresolution image representation[C]. IEEE International Conference on Image Processing, 2002, 1(1): I357-360.
[2] C A L Da, J Zhou, M N Do. The nonsubsampled contourlet transform: Theory, design, and applications[J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
[3] C N Shahan, A P Karen, S A Sos. Non- linear direct multi- scale image enhancement based on the luminance and contrast masking characteristics of the human visual system[J]. IEEE Tranctions on image processing, 2013, 9(22):3549-3561.
[4] M K Kundu, S K Pal. Thresholding for edge detection using human psychovisual phenomena[J]. Pattern Recogn Lett,1986, 4(6): 433-441.
[5] K A Panetta, E J Wharton, S S Agaian. Human visual system- based image enhancement and logarithmic contrast measure[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2008, 38(1): 174-188.
[6] G Buchsbaum. An analytical derivation of visual nonlinearity[J]. IEEE Transactions on Biomedical Engineering, 1980,(5): 237-242.
[7] K Panetta, Y Zhou, S Agaian, et al.. Nonlinear unsharp masking for mammogram enhancement[J]. IEEE Transactions on Information Technology in Biomedicine, 2011, 15(6): 918-928.
[8] F Yang, Y Chang, S Wan. Gradient- threshold edge detection based on the human visual system[J]. Opt Eng, 2005, 44(2): 020505.
[9] J D Tubbs. A note on parametric image enhancement[J]. Pattern Recogn, 1987, 20(6): 617-621.
[11] D L Donoho, J M Johnstone. Ideal spatial adaptation by wavelet shrinkage[J]. Biometrika, 1994, 81(3): 425-455.
