最新影像伪装术PPT课件.ppt

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1、影像伪装术影像伪装术DataHidingCover imageHiding systemSecret messageStego image1 0 1 0 1 0 0 1 0 1 1 1 1 0 02A secret message:1 0 1 0 1 0 0 1 0 1 1 1 1 0 0Index TableC1,C2,C4,C5C6,C7C11,C3C15,C10C12,C9 1 0Secret bits1100010111100109A secret message:1 0 1 0 1 0 0 1 0 1 1 1 1 0 0Index TableSecret bits1100010111

2、1001010AdaptiveEmbeddingMethodC0C6C1C7C14S0C5C3C10S1C8C12C11S4C13C15S3C4C2C9S211Secretmessage:(1 0 1 0 1 0 0 1 0)2=(338)104782015312S2S0S4S2S0S3S1S0S2Index Table12C2C4C9C0C1C6C7C14C3C5C10C13C15C0C1C6C7C14C2C4C9C8C11C12C0C1C6C7C14C2C4C9S2S0S1S3S0S2S4S0S2S2 X S0 X S1 X S3 X S0 X S2 X S4 X S0 X S2=(C2,

3、C0,C3,C13,C0,C2,C8,C0,C2),(C2,C0,C3,C13,C0,C2,C8,C0,C4),(C2,C0,C3,C13,C0,C2,C8,C0,C9),(C9,C14,C10,C15,C14,C9,C12,C14,C9)130:(2,0,3,13,0,2,8,0,2)1:(2,0,3,13,0,2,8,0,4)2:(2,0,3,13,0,2,8,0,9)338:(2,0,3,13,6,4,11,6,2)32399:(9,14,10,15,14,9,12,14,9)14Tzeng et al.s Data HidingIndexColor0(133,140,128)1(123

4、,155,130)2(130,144,138)3(126,146,134)4(139,139,143)5(131,161,124)6(137,140,144)7(137,137,140)PaletteC0C1C2C3C4C5C6C7nQ:Ci CjnA:Theluminancefunction:l=0.3*r+0.59*g+0.11*bThecolor-orderingrelationship?15?(96,139,208)(119,159,227)c1c2l1=0.3*96+0.59*139+0.11*208=133.7l2=0.3*119+0.59*159+0.11*227=154.5?(

5、245,130,44)(246,111,143)c1c2l1=0.3*246+0.59*111+0.11*143=155l2=0.3*245+0.59*130+0.11*44=155c1c2Ex1:Ex2:Q:A:Q:A:16IndexColorl0(133,140,128)136.61(123,155,130)142.72(130,144,138)139.13(126,146,134)138.74(139,139,143)139.45(131,161,124)147.96(137,140,144)139.57(137,137,140)137.3PaletteC0C1C2C3C4C5C6C7n

6、Q:d(Ci,Cj)=?nA:nEx1:17nQ:How to hide a secret bitnA:Using color-mapping functionnEx1:7466475745605456023602231Imagedatain137.3 139.4 139.5137.3 147.90c4c3c2c10001118nEx2:139.1 138.7 139.5139.1 138.7119Image data X,palette P,and secret data ACheck the data embeddability of each pixelSort the colors o

7、f four precedent neighbors and perform the color-mapping functionIs the mapped result equals the secret bit?Embed the secret bit without modifyingimage dataEmbed the secret bit by using the closest color of image dataYesNoEmbeddingProcess20EmbeddingProcessnIf the secret data is 074664757456054560236

8、02231ImagedataIndexColorl0(133,140,128)136.61(123,155,130)142.72(130,144,138)139.13(126,146,134)138.74(139,139,143)139.45(131,161,124)147.96(137,140,144)139.57(137,137,140)137.3Palette21EmbeddingProcessnIf the secret data is 17466475745605456023602231Imagedata7466475775605456023602231EmbeddedresultI

9、ndexColorl0(133,140,128)136.61(123,155,130)142.72(130,144,138)139.13(126,146,134)138.74(139,139,143)139.45(131,161,124)147.96(137,140,144)139.57(137,137,140)137.3Palette22TheProposedSchemeClusterSIndexColorCenterzS04(139,139,143)(138,139,142)6(137,140,144)7(137,137,140)S15(131,161,124)(131,161,124)S

10、20(133,140,128)(133,140,128)S32(130,144,138)(128,145,136)3(126,146,134)S41(123,155,130)(123,155,130)c4c6c7c5c0c2c3c1S0S1S2S3S4nThe clustering23ClusterS IndexColorCenterzLuminancelS04(139,139,143)(138,139,142)1396(137,140,144)7(137,137,140)S15(131,161,124)(131,161,124)147.9S20(133,140,128)(133,140,12

11、8)136.6S32(130,144,138)(148,145,136)144.93(126,146,134)S41(123,155,130)(123,155,130)142.7c4c6c7c5c0c2c3c1S0S1S2S3S424c4c6c7c5c0c2c3c17466475745605456023602231SczlS04(138,139,142)13967S15(131,161,124)147.9S20(133,140,128)136.6S32(148,145,136)144.93S41(123,155,130)142.7S0S1S2S3S425Combinationtechnique

12、c4c6c7c5c0c2c3c17466475745605456023602231Secret data:(1011)2=(11)10c4c6c7c4c6c7c4c6c7Q=3x3x3=27647647574560545602360223111thcombinationc4c6c7c4c6c7c4c6c7c4c6c7c4c6c7c4c6c7c4c6c7c4c6c7c4c6c7000000010010S0S1S2S3S426c4c6c7c5c0c2c3c1Q=3x3x3x3x3x3x3x3x3x3x3x2x2=708588Secret data:(011011111100100)2(473060

13、)107466475745615456123602231Secret data:1001101001110011011111100100S0S1S2S3S47444445745415656122602231C7C6C4C7C6C4C7C6C4C7C6C4C7C6C4C7C6C4C7C6C4C7C6C4C7C6C4C7C6C4C7C6C4C3C2C3C2473060th combination27ExperimentalResultsnHost ImagesnStego Images2841.264026541.1221405(f)Garfield-b40.241210440.658168(e)

14、Garfield-a42.241747242.2210349(c)CCU-Upbar42.84563142.904333(b)CCU-Logo40.07734240.046160(d)Palette41.67PSNR40.75PSNR38102CapacityOur proposed methodCapacity20012(a)MidnightTzeng et als methodSchemesImagesTable 1.Embedding performance29Table 2.Embedding capacity and image quality35.131455437035.0660

15、8056236.44174422337.0861980935.48596871636.351790143639.946357618839.822002220039.33101122939.84469912238.20331334038.3311217311536.2412423711035.675709110736.50172992437.40703501136.90444452437.151330106035.831397627935.73549397136.44174422336.8174971935.73587371736.511703564041.264026525539.841915

16、825540.4058933141.48365684041.9071266041.673810221539.257326915239.362276616039.41128142737.68685561837.94354263038.261108479240.045933625339.831919625440.0773423040.82426303140.23220034939.777368115536.101283449135.69560218836.44174422336.7077798935.74580772136.431793874536.7611243512736.5346450125

17、38.76114312637.49697921436.98433912837.1913608172PSNRCapacityPSNRCapacityPSNRCapacityPSNRCapacityPSNRCapacityPSNRCapacityClusters(f)Garfield-bClusters(e)Garfield-aClusters(d)PaletteClusters(c)CCU-UpbarClusters(b)CCU-LogoClusters(a)Midnight3031ConclusionsnAn adaptive data hiding scheme for the palette images.nHigh embedding capacity and good image quality32Thank you very much Thank you very much for your attention!for your attention!33结束语结束语谢谢大家聆听！谢谢大家聆听！34