Invisible Image Watermarking using Frequency Domain Feature Points
Alternative metrics PlumXhttp://hdl.handle.net/11012/83905
MetadataShow full item record
For robust invisible watermarking scheme for images, it is crucial to withstand both malicious and common image manipulations (e.g. JPEG compression, pixel jittering or cropping). In this paper, local image features are used. For this, a Maximally Stable Extremal Regions (MSER) detector, which is fast and invariant to affine transformations, is used. The watermark itself is embedded multiple times in circular areas across image. This is achieved by manipulation of magnitude coefficients in frequency domain. During detection, watermark is recovered using majority criterion.
KeywordsInvisible image watermarking, robust image watermarks, image protection, discrete Fourier transform, DFT, peak signal to noise ratio, PSNR
Document typePeer reviewed
SourceProceedings of the 22nd Conference STUDENT EEICT 2016. s. 164-167. ISBN 978-80-214-5350-0
- Student EEICT 2016