Computer Science ›› 2019, Vol. 46 ›› Issue (3): 92-96.doi: 10.11896/j.issn.1002-137X.2019.03.012

• ChinaMM2018 • Previous Articles     Next Articles

Perceptual Model Based on GLCM Combined with Depth

YE Peng, WANG Yong-fang, XIA Yu-meng, AN Ping   

  1. (Shanghai Institute for Advanced Communication and Data Science,Shanghai University,Shanghai 200444,China)
    (School of Communication and Information Engineering,Shanghai University,Shanghai 200444,China)
  • Received:2018-07-11 Revised:2018-09-21 Online:2019-03-15 Published:2019-03-22

Abstract: Just Noticeable Distortion (JND) model is a kind of perceptual model,which is one of the most effective methods to remove the visual redundancy in image/video compression.Because the calculation of the contrast masking effect (CM) is not perfect and the consideration of depth information is not accurate in the existing JND model,this paper proposed a JND model combined with depth based on gray level co-occurrence matrix (GLCM).Firstly,the image is decomposed into the edge part and the texture part by the total variance(TV) method,the edge part is processed by Canny operator and the texture part is processed by GLCM.A more accurate CM model is formed by incorporating above two parts.Further,a new JND model based on gray-level co-occurrence Matrix is established by combining the background brightness masking effect.Besides,based on the human depth perception,a novel depth weighting model is proposed.Finally,a new perceptual model combined with depth based on GLCM is established.The experimental results show that the proposed model is more consistent with the human visual perception.Comparing with the existing JND model,the proposed model can tolerate more distortion and has much better perceptual quality.

Key words: Contrast masking model, Depth information, Gray-level co-occurrence matrix(GLCM), Image decomposition, Just noticeable distortion model

CLC Number: 

  • TP37
[1]WANG Y F,ZHU K H,WU J,et al.Asymmetric perceptual video coding system and method based on just noticeable distortion model:CN 106331707 A[P].2017-01-11.
[2]LIU J,WANG Y F,WU C F,et al.Improved JND model and its application in image coding[J].Video Engineering,2011,35(13):15-18.(in Chinese)
刘静,王永芳,武翠芳,等.改进的JND模型及其在图像编码中的应用[J].电视技术,2011,35(13):15-18.
[3]BOUCHAKOUR M,JEANNIC G,AUTRUSSEAU F.JND
mask adaptation for wavelet domain watermarking[C]∥IEEE International Conference on Multimedia and Expo.IEEE,2010:201-204.
[4]LIN W,DONG L,XUE P.Visual distortion gauge based on discrimination of noticeable contrast changes.[J].IEEE Transactions on Circuits & Systems for Video Technology,2005,15(7):900-909.
[5]YANG X K,LING W S,LU Z K,et al.Just noticeable distortion modeland its applications in video coding[J].Signal Processing Image Communication,2005,20(7):662-680.
[6]LEGGE G E,FOLEY J M.Contrast masking in human vision
[J].Journal of the Optical Society of America,1980,70(12):1458-1471.
[7]CHOU C H,LI Y C.A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile[J].IEEE Transactions on Circuits & Systems for Video Technology,1995,5(6):467-476.
[8]LIU A,LIN W,PAUL M,et al.Just Noticeable Difference for Images With Decomposition Model for Separating Edge and Textured Regions[J].IEEE Transactions on Circuits & Systems for Video Technology,2010,20(11):1648-1652.
[9]WU J,LIN W,SHI G,et al.Pattern masking estimation in ima-
ge with structuraluncertainty[J].IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2013,22(12):4892-4904.
[10]SILVA D V S X D,FERNANDO W A C,NUR G,et al.3D video
assessment with Just Noticeable Difference in Depth evaluation[C]∥IEEE International Conference on Image Processing.IEEE,2010:4013-4016.
[11]ZHANG H W.Multiple description coding of three-dimensional depth images[D].Beijing:Beijing Jiaotong University,2016.(in Chinese)
张慧雯.三维深度图像的多描述编码[D].北京:北京交通大学,2016.
[12]YIN W,GOLDFARB D,OSHER S.A comparison of three total variation based texture extraction models[J].Journal of Visual Communication and Image Representation,2007,18(3):240-252.
[13]HARALICK R M,SHANMUGAM K,DINSTEIN I.Textural
Features for Image Classification[J].IEEE Transactions on Systems Man & Cybernetics,1973,SMC-3(6):610-621.
[14]WANG H M,SHI P.Image texture feature extraction method[J].Journal of Communication University of China Science and Technology,2006,13(1):49-52.(in Chinese)
王惠明,史萍.图像纹理特征的提取方法[J].中国传媒大学学报(自然科学版),2006,13(1):49-52.
[15]BO H,MA F L,JIAO L C.Analysis of image grayscale co-occurrence matrix computation problems [J].Acta Electronica Sinica,2006,34(1):155-158.(in Chinese)
薄华,马缚龙,焦李成.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):155-158.
[16]FRISTON K.The free-energy principle:A unified brain theory?[J].Nature Reviews Neuroscience,2010,11(2):127.
[17]ECKERT M P,BRADLEY A P.Perceptual quality metrics applied to still image compression[J].Signal Processing,1998,70(3):177-200.
[18]KANG X,HAN C,YANG Y,et al.SAR Image Edge Detection by Ratio-based Harris Method[C]∥IEEE InternationalCon-ference on Acoustics,Speech and Signal Processing(ICASSP 2006).IEEE,2006:2.
[19]YANG X,LIN W,LU Z,et al.Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile[J].IEEE Transactions on Circuits & Systems for Video Technology,2005,15(6):742-752.
[20]FEHN C.Depth-image-based rendering (DIBR),compression,
and transmission for a new approach on 3D-TV[J].Proc Spie,2004,5291:93-104.
[21]CHENG H,ZHANG J,WU Q,et al.Stereoscopic visual saliency prediction based on stereo contrast and stereo focus[J].Eurasip Journal on Image & Video Processing,2017,2017(1):61.
[22]OTSU N.A Threshold Selection Method from Gray-Level Histograms[J].IEEE Transactions on Systems Man &Cyberne-tics,1979,9(1):62-66.
[23]International Telecommunicaton Union.ITU-R BT:500-11:
Methodology for the Subjective Assessment of the Quality of Television Pictures (Geneva,2002)[OL].http://www.itu.int/rec/R-REC-BT.500/en.
[24]HORE A,ZIOU D.Image Quality Metrics:PSNR vs. SSIM[C]∥
International Conference on Pattern Recognition.IEEE,2010:2366-2369.
[1] CHEN Tian-tian, YAO Huang, ZUO Ming-zhang, TIAN Yuan, YANG Meng-ting. Review of Dynamic Gesture Recognition Based on Depth Information [J]. Computer Science, 2018, 45(12): 42-51.
[2] SU Hui-jia and ZHENG Ji-ming. Image Splicing Blind Detection Method Combined RLRN with GLCM [J]. Computer Science, 2017, 44(6): 150-154.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!