English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, an efficient fragile blind quad watermarking scheme for imagetamper detection and recovery based on lifting wavelet transform and geneticalgorithm is proposed. TRLG generates four compact digests with super qualitybased on lifting wavelet transform and halftoning technique by distinguishingthe types of image blocks. In other words, for each 2*2 non-overlap blocks,four chances for recovering destroyed blocks are considered. A specialparameter estimation technique based on genetic algorithm is performed toimprove and optimize the quality of digests and watermarked image. Furthermore,CCS map is used to determine the mapping block for embedding information,encrypting and confusing the embedded information. In order to improve therecovery rate, Mirror-aside and Partner-block are proposed. The experimentsthat have been conducted to evaluate the performance of TRLG proved thesuperiority in terms of quality of the watermarked and recovered image, tamperlocalization and security compared with state-of-the-art methods. The resultsindicate that the PSNR and SSIM of the watermarked image are about 46 dB andapproximately one, respectively. Also, the mean of PSNR and SSIM of severalrecovered images which has been destroyed about 90% is reached to 24 dB and0.86, respectively.

TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with quality optimized using LWT and GA