[4] MallatSA. Theory formultiresolution signal decomposition: thewavelet representation [J].IEEE Trans. on Pattern Analysis andMachine Intelligence,1989,11(7): 674—693.
[5] DoM N, VetterliM V. The contourlet transform: an efficient directionalmultiresolution image representation[J].IEEE Trans. on ImageProcessing.2005,14(12):2091—2106.
[6] EslamiR, RadhaH. A new family of non-redundant transforms using hybridwavelets and directional filterbanks[J]. IEEE Trans. ImageProcessing,2007,16(4): 1152—1167.
[7] NadenauM J, Reichel J, KuntM. Wavelet-based color image compression: exploiting the contrast sensitivity[J]. IEEE Trans. on ImageProcessing,2003,12(1): 58—70.
[8] SheikhH R, Wang Z, BovikA C,et al. Image and Video QualityAssessmentResearch atLIVE [DB]. http: //live.ece. utexas. edu/rese-arch/quality/, 2003. s.
[9] Wang Z, BovikA C, SheikhH R,et al. Image quality assessmen:t from error visibility to structural similarity[J]. IEEE Trans. ImageProcessing,2004,13(4): 600—612.
[10] Wang Z, SimoncelliE P. Reduced-reference image quality assessment using a wavelet-domain natural image statistic model[J].Human Vision andElectronic ImagingX. Proc, 2005,5666(1): 149—159.