LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

FPGA Implementation of Lifting-Based Data Hiding Scheme for Efficient Quality Access Control of Images

Photo by lensingmyworld from unsplash

AbstractIn this paper, a hardware implementation of a data hiding technique is proposed for efficient quality access control of images using lifting-based discrete wavelet transformation (DWT). Host image is decomposed… Click to show full abstract

AbstractIn this paper, a hardware implementation of a data hiding technique is proposed for efficient quality access control of images using lifting-based discrete wavelet transformation (DWT). Host image is decomposed into n-level wavelet tiles. A binary watermark image is transmuted and embedded into high–high DWT coefficients using adaptive dither modulation technique without self-noise suppression. The embedding of external information into the host image will degrade the visual quality. This feature may be utilized for access control. At the decoder side, an authorized user can enjoy superior quality image by extracting watermark bits using minimum distance decoding. Field-programmable gate array-based hardware architecture is proposed for real-time implementation of the scheme. The experiment is done over a large number of benchmark images, and the results are found to be superior to the related work which is present in the literature. It is also seen that (a) in real-time processing, the scheme saves 89.53% power than the related implementation found in the literature, and (b) a very high throughput of 23.8 MB/s is achieved for watermarking encoder and decoder, respectively, at a maximum operating frequency of 130.14 MHz for the processing of (512 × 512) sized images.

Keywords: scheme; implementation; quality; access control

Journal Title: Circuits, Systems, and Signal Processing
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.