SlideServe
Télécharger Obtenir Pro
Menu
Accueil Pro
Préférences
ApparenceLight Aide et commentaires
© SlideServe · v2026

Reversible Image Watermarking Using Interpolation Technique

xanto avatar
xanto
19 diapositives · 773 Views · Jul 24, 2014

Reversible Image Watermarking Using Interpolation Technique . Source: IEEE Transcation on Information Forensics and Security, Vol. 5, No. 1, March 2010 Authors: Lixin Luo , Zhenyong Chen, Ming Chen, Xiao Zeng and Zhang Xiong Speaker: Hon- Hang Chang

#reversible image watermarking using interpolation technique #reversible image watermarking using interpolation technique ppt #powerpoint #presentation
Reversible Image Watermarking Using Interpolation Technique - slide 1
01 / 19Reversible Image Watermarking Using Interpolation Technique
1 / 17

Télécharger la présentation

Reversible Image Watermarking Using Interpolation Technique
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation

  1. Reversible Image Watermarking Using Interpolation Technique Source: IEEE Transcation on Information Forensics and Security, Vol. 5, No. 1, March 2010 Authors: LixinLuo, Zhenyong Chen, Ming Chen, Xiao Zeng and Zhang Xiong Speaker: Hon- Hang Chang Date: 2010. 10. 27

  2. Outline • Introduction • Proposed Method • Experiment Results • Conclusions

  3. Introduction Watermark Embed Watermarked image Cover image Cover image Extract Watermarked image Watermark

  4. Proposed Method(Cont.) • LSB replacement of the overhead information Marginal area of cover-image Overhead LM, LN RM, RN LSB replacement Boundary Map Cover image

  5. Proposed Method(Con.t) • Interpolation in Non-Samplepixels ● Sample pixel ○ Non-Sample pixel ○The Non-Sample pixel after predicting 1-Level Cover image X 2-Level

  6. Proposed Method(Cont.) • Interpolation in Sample pixels ● Sample pixel ○ Non-Sample pixel ○The Non-Sample pixel after predicting 3-Level

  7. Proposed Method(Cont.) • Interpolation in Non-Sample pixels(1/2) Mean45=(S45(1)+S45(3))/2 =(60+40)/2 =50 Mean135=(S135(1)+S135(3))/2 =(30+50)/2 =40 u= ( Mean45+ Mean135 )/ 2 = (50+40)/2 = 45 Cover image X S45= {60, 52,40} S135={30, 52,50} 45 35 50 45 Interpolation X ’

  8. Proposed Method = · + · ' X w Mean w Mean 0 0 90 90 s s ( e ) ( e ) = · + · 90 0 35 48.5 s + s s + s ( e ) ( e ) ( e ) ( e ) 0 90 0 90 = • × + • × 0 . 4571 35 0 . 5429 48 . 5 » 42 • Interpolation in Non-Sample pixels(2/2) Mean0=(S0(1)+S0(3))/2 =(30+40)/2 =35 Mean90=(S90(1)+S90(3))/2 =(52+45)/2 =48.5 u= ( Mean0+ Mean90 )/ 2 = (35+48.5)/2 = 41.75 Cover image X S0= {30, 18,40} S90={52, 18,45} 45 42 35 46 43 49 50 45 Interpolation X ’

  9. Proposed Method • Interpolation in Sample pixels Mean0=(S0(1)+S0(3))/2 =(18+67)/2 =42.5 Mean90=(S90(1)+S90(3))/2 =(47+43)/2 =45 u= ( Mean45+ Mean135 )/ 2 = (42.5+45)/2 = 43.75 Cover image X S0= {18, 40, 67} S90={47, 40, 43} 45 42 35 45 46 43 49 50 45 Interpolation X ’

  10. Proposed Method(Cont.) • Embedding(Non-Sample pixels) (1/2) - = Cover image X Interpolation X ’ Difference E LM RM LM RM LN RN LM-1 RM+1

  11. Proposed Method(Cont.) W= 1 0 1 1 0 1 1 1 0 0 1 0 1 • Embedding(Non-Sample pixels) (2/2) Difference E’ + Interpolation X ’ Difference E LM RM Interpolation X ’ = LM-1 RM+1 Watermarked image

  12. Proposed Method(Cont.) • Embedding(Sample pixels) - = Watermarked image Interpolation X ’ Difference E LM RM LM RM LN RN LM-1 RM+1

  13. Proposed Method(Cont.) W= 1 0 1 1 • Embedding(Sample pixels) Difference E’ + Interpolation X ’ Difference E Interpolation X ’ LM RM = LM-1 RM+1 Watermarked image

  14. Proposed Method(Cont.) • Extracting(Sample pixels) = - Watermarked image Interpolation X ’ Difference E’ + LM=-1 RM=0 LN=-2 RN=1 = Difference E W2=1 0 1 1

  15. Proposed Method(Cont.) • Extracting(Non-Sample pixels) = - Watermarked images Interpolation X ’ Difference E’ + LM=0 RM=1 LN=-3 RN=4 = Difference E’ W1=1 0 1 1 0 1 1 1 0 0 1 0 1 W= W1 ∥W2 Cover Image X

  16. Proposed Method • Boundary Map (B) • Overflow and Underflow x=0 x=255 Pixel in cover image: X Underflow X Overflow x’’ =-1 x’’ =1 x’’ =254 x’’ =256 Watermarked pixel: x’’ =0 x’’ =255 To add ‘0’ in to the boundary map B=…0 • To distinguish the Boundary pixel is corresponding to • genuine or pseudo x=1 x=254 Pixel in cover image: x’’ =0 x’’ =2 x’’ =253 x’’ =255 To add ‘1’ in to the boundary map B=…1

  17. Experiment Results TABLE I COMPARISON RESULTS IN TERMS OF THE CAPACITY (bits) AND THE PSNR VALUE (dB) FOR LENA, BABOON, PLANE, AND SAILBOAT

  18. Experiment Results Fig. 1 Performance evaluation of multilayer embedding over standard in test image Lena

  19. Conclusions • The computation cost of the proposed method scheme is small. • The proposed scheme could guarantee high image quality without • sacrificing embedding capacity.