The design and application of DWT-domain optimum decoders

Yongjian HU*, Sam KWONG, Y. K. CHAN

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)


Based on Bayes theory of hypothesis testing, a new DWT-domain decoder structure for image watermarking has been proposed in this work. The statistical distribution of wavelet coefficients is deliberately described with the Laplacian model so that the decoding algorithm could couple effectiveness and simplicity. Under the Neyman-Pearson criterion, the decision rule is optimized by minimizing the probability of missing the watermark for a given false detection rate. Compared with other domain decoders, the proposed DWT-domain decoder has more flexibility in constructing new watermarking algorithms by using visual models that have varying spatial support.

Original languageEnglish
Title of host publicationDigital Watermarking: First International Workshop, IWDW 2002, Seoul, Korea, November 21-22, 2002, Revised Papers
EditorsHyoung Joong KIM
Place of PublicationHeidelberg
PublisherSpringer Berlin
Number of pages9
ISBN (Print)9783540012177
Publication statusPublished - 2003
Externally publishedYes
EventInternational Workshop on Digital Watermarking 2022 - Seoul, Korea, Republic of
Duration: 21 Nov 200222 Nov 2002

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Workshop on Digital Watermarking 2022
Abbreviated titleIWDW 2002
Country/TerritoryKorea, Republic of


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