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一种基于NSCT与抖动量化的盲水印算法 Title:ABlindWatermarkingAlgorithmbasedonNSCTandDitheredQuantization Abstract: Withtherapidgrowthofdigitalmultimediadata,thereisanincreasingneedforsecureandreliablecopyrightprotectionsolutions.Watermarkingtechniqueshaveemergedasapopularsolutiontoprotectdigitalcontentfromunauthorizedcopyingortampering.ThispaperproposesablindwatermarkingalgorithmbasedontheNon-SubsampledContourletTransform(NSCT)andDitheredQuantizationtoembedwatermarksintodigitalimageswithimprovedsecurity,robustness,andimperceptibility. 1.Introduction Watermarkingtechniquesplayasignificantroleinprotectingtheintellectualpropertyrightsofdigitalcontent.Blindwatermarkingalgorithmsareparticularlyimportantastheydonotrequiretheoriginalimageforwatermarkextraction.ThispaperpresentsablindwatermarkingalgorithmthatcombinestheadvantagesoftheNon-SubsampledContourletTransform(NSCT)andDitheredQuantizationtoenhancetherobustnessandsecurityofthewatermarkingprocess. 2.RelatedWork Thissectionprovidesanoverviewoftheexistingwatermarkingalgorithms,focusingonblindwatermarkingtechniquesbasedondifferenttransformdomains.Thelimitationsandadvantagesofthesealgorithmsarediscussedtohighlighttheneedforanovelapproach. 3.ProposedAlgorithm 3.1Non-SubsampledContourletTransform(NSCT) TheNSCTisamulti-scale,multi-directional,andshift-invarianttransformthatprovidesanefficientrepresentationfornaturalimages.Itdecomposesanimageintoasetofsubbands,capturingbothlocalandglobalimagefeatures.TheNSCTischosenastheprimarydomainforwatermarkembeddingduetoitssuperiorperformanceinpreservingimagedetails. 3.2DitheredQuantization Quantizationisafundamentalprocessinwatermarkembedding,wherebythewatermarksignalisembeddedinthehostimagebymodifyingthepixelvalues.Ditheredquantizationisaneffectivetechniquethatintroducesrandomnessduringthequantizationprocess,improvingthevisualqualityandrobustnessofthewatermark.Inthisalgorithm,ditheredquantizationisappliedtoenhancetherobustnessofthewatermarkagainstvariousimageprocessingattacks. 3.3WatermarkEmbedding Thep