JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (3): 15-21.doi: 10.6040/j.issn.1672-3961.3.2014.172

Previous Articles     Next Articles

An image quality assessment method based on Shearlet transform

REN Yuling, LU Wen, XU Hongqiang, HE Lihuo   

  1. School of Electronic Engineering, Xidian University, Xi'an 710071, Shaanxi, China
  • Received:2014-10-08 Revised:2015-05-11 Online:2015-06-20 Published:2014-10-08

PDF (PC)

1206

Abstract: An objective image quality assessment metric was proposed by combing the ability of shearlet transform to capture the visual perception feature and the properties of human visual system to describe the degradation of image quality. First, the shearlet transformation was applied to reference and distorted images to obtain the subband coefficients of different scales, and then the contrast sensitivity masking was employed to obtain the subband coefficients of different scales of same perceptual importance. Second, the proportion of perceived coefficients of reference and distorted images was calculated according to the perception threshold, which was obtained from the subband coefficients of reference image. Finally, the objective image quality assessment was acquired by comparing the differences of the proportion of perceived coefficients between reference and distorted images. Tests were done on LIVE database and image sets of distortion at different levels to verify the rationality and validity of the proposed method. Experimental results illustrated that the proposed method had a good consistency with the subjective assessment of human beings, thus could be used to describe the visual perception of the image effectively.

Key words: image quality assessment, visual perception, multiscale geometric analysis, directional filter, Shearlet transformation, human visual system

CLC Number: 

  • TN911.73
[1] WANG Z, BOVIK A C. Modern image quality assessment[M]. New York, USA:Morgan and Claypool Publishing Company, 2006.
[2] CHITPRASERT B, RAO K R. Human visual weighted progressive image transmission[J]. IEEE Transaction on Communications, 1990, 38(7):1040-1044.
[3] PARK H, HAR D H. Subjective image quality assessment based on objective image quality measurement factors[J]. IEEE Transaction on Consumer Electronics, 2011, 57(3):1176-1184.
[4] HORE A, ZIOU D. Image quality metrics:PSNR vs. SSIM[C]//2010 20th International Conference on Pattern Recognition. Istanbul, Turkey:IEEE, 2010:2366-2369.
[5] WANG Z, SIMONCELLI E P, BOVIK A C. Multiscale structural similarity for image quality assessment[C]//the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers. Asilomar, USA:IEEE, 2003:1398-1402.
[6] WANG Z, SIMONCELLI E P. Reduced-reference image quality assessment using a wavelet-domain natural image statistic model[C]//17th Annual Symposium on Electronic Imaging. New York, USA:SPIE, 2005:149-159.
[7] LIN M, SONGNAN L, KING N N, et al. Reduced-reference image quality assessment in reorganized DCT domain[J]. Signal Processing:Image Communication, 2013, 28(8):884-902.
[8] WU J, LIN W, SHI G, et al. Image quality assessment with degradation on spatial structure[J]. Signal Processing Letters, IEEE, 2014, 21(4):437-440.
[9] GAO X, LU W, LI X, et al. Wavelet-based contourlet in quality evaluation of digital images[J]. Neurocomputing, 2008, 72(1):378-385.
[10] TAO D, LI X, LU W, et al. Reduced-reference IQA in contourlet domain[J]. IEEE Transaction Systems, Man and Cybernetics:Part B, 2009, 39(6):1623-1627.
[11] SCHWARTZ W R, SILVA R D, DAVIS L S, et al. A novel feature descriptor based on the shearlet transform[C]//18th IEEE International Conference on Image Processing. Brussels, Belgium:IEEE, 2011:1033-1036.
[12] LIM W Q. The discrete shearlet transform:a new directional transform and compactly supported shearlet frames[J]. IEEE Transaction on Image Processing, 2010, 19(5):1166-1180.
[13] NEGIP S, LABATE D. 3-D discrete shearlet transform and video processing[J]. IEEE Transaction on Image Processing, 2012, 21(6):2944-2954.
[14] 高新波, 路文. 视觉信息质量评价方法[M]. 西安:西安电子科技大学出版社, 2010.
[15] JACQUES L, DUVAL L, CHAUX C, et al. A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity[J]. Signal Processing, 2011, 91(12):2699-2730.
[16] GAO X, LU W, TAO D, et al. Image quality assessment based on multiscale geometric analysis[J]. IEEE Transaction on Image Processing, 2009, 18(7):1409-1423.
[17] JIAO L, TAN S. Development and prospect of image multiscale geometric analysis[J]. Acta Electronica Sinica, 2003, 31(12A):1975-1981.
[18] DAUBECHIES I. The wavelet transform, time-frequency localization and signal analysis[J]. IEEE Transaction on Information Theory, 1990, 36(5):961-1005.
[19] DO M N, VETTERLI M. The contourlet transform:an efficient directional multiresolution image representation[J]. IEEE Transaction on Image Processing, 2005, 14(12):2091-2106.
[20] CHAI Y, LI H, ZHANG X. Multifocus image fusion based on features contrast of multiscale products in nonsubsampled contourlet transform domain[J]. Optik-Inter. Journal for Light and Electron Optics, 2012, 123(7):569-581.
[21] LIU H, HEYNDERICKX I. Visual attention in objective image quality assessment:based on eye-tracking data[J]. IEEE Transaction on Circuits and Systems for Video Technology, 2011, 21(7):971-982.
[22] EASLEY G, LABATE D, LIM W Q. Sparse directional image representations using the discrete shearlet transform[J]. Applied and Computational Harmonic Analysis, 2008, 25(1):25-46.
[23] GUO K, LABATE D. Optimally sparse multidimensional representation using shearlets[J]. SIAM Journal on Mathematical Analysis, 2007, 39(1):298-318.

[24] MILOSLAVSKI M, HO Y S. Zerotree wavelet image coding based on the human visual system model[C]//The 1998 IEEE Asia-Pacific Conference on Circuits and Systems. Chiangmai, Thailand:IEEE, 1998:57-60.
[1] LIU Yi-fang1,2, ZHANG Yun-feng1,2*, CHI Jing1,2, ZHANG Cai-ming1,2. A fast algorithm for color space transformation based on SSLUT [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2013, 43(1): 41-47.
[2] LIANG Min-yu, SUN Quan-sen*. An image quality assessment model based on structure feature [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(3): 52-56.
[3] LIU Zhijun. Multi-channel color image blind watermarking algorithm based on DCT [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(3): 31-35.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] LI Kan . Empolder and implement of the embedded weld control system[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(4): 37 -41 .
[2] LAI Xiang . The global domain of attraction for a kind of MKdV equations[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(1): 87 -92 .
[3] YU Jia yuan1, TIAN Jin ting1, ZHU Qiang zhong2. Computational intelligence and its application in psychology[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(1): 1 -5 .
[4] CHEN Rui, LI Hongwei, TIAN Jing. The relationship between the number of magnetic poles and the bearing capacity of radial magnetic bearing[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(2): 81 -85 .
[5] WANG Bo,WANG Ning-sheng . Automatic generation and combinatory optimization of disassembly sequence for mechanical-electric assembly[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(2): 52 -57 .
[6] QIN Tong, SUN Fengrong*, WANG Limei, WANG Qinghao, LI Xincai. 3D surface reconstruction using the shape based interpolation guided by maximal discs[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(3): 1 -5 .
[7] LIU Wen-liang, ZHU Wei-hong, CHEN Di, ZHANG Hong-quan. Detection and tracking of moving targets using the morphology match in radar images[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(3): 31 -36 .
[8] ZHANG Ying,LANG Yongmei,ZHAO Yuxiao,ZHANG Jianda,QIAO Peng,LI Shanping . Research on technique of aerobic granular sludge cultivationby seeding EGSB anaerobic granular sludge[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(4): 56 -59 .
[9] Yue Khing Toh1， XIAO Wendong2， XIE Lihua1. Wireless sensor network for distributed target tracking: practices via real test bed development[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(1): 50 -56 .
[10] SUN Weiwei， WANG Yuzhen. Finite gain stabilization of singlemachine infinite bus system subject to saturation[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(1): 69 -76 .
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd