Semi-fragile watermarking algorithm of color image based on Slant Transform and channel coding

2011 ◽  
Author(s):  
Rui Bao ◽  
Tianqi Zhang ◽  
Fangqing Tan ◽  
Yu E Wang
Keyword(s):  
Channel Coding ◽  
Color Image ◽  
Fragile Watermarking ◽  
Slant Transform

scholarly journals A Feature-Based Fragile Watermarking of Color Image for Secure E-Government Restoration

2019 ◽  
Vol 5 (5) ◽  
Author(s):  
Lusia Rakhmawati ◽  
Wirawan Wirawan ◽  
Suwadi Suwadi ◽  
Titiek Suryani ◽  
E Endroyono
Keyword(s):  
Color Image ◽  
Fragile Watermarking ◽  
Feature Based

scholarly journals Color Image Self-Recovery and Tampering Detection Scheme Based on Fragile Watermarking with High Recovery Capability

2021 ◽  
Vol 11 (7) ◽  
pp. 3187
Author(s):  
Rogelio Reyes-Reyes ◽  
Clara Cruz-Ramos ◽  
Volodymyr Ponomaryov ◽  
Beatriz P. Garcia-Salgado ◽  
Javier Molina-Garcia
Keyword(s):  
Image Quality ◽  
Color Image ◽  
Image Authentication ◽  
Extraction Process ◽  
Fragile Watermarking ◽  
Superior Performance ◽  
Coincidence Problem ◽  
Detection Scheme ◽  
Tampered Image ◽  
Exclusive Or

In this paper, a fragile watermarking scheme for color image authentication and self-recovery with high tampering rates is proposed. The original image is sub-sampled and divided into non-overlapping blocks, where a watermark used for recovery purposes is generated for each one of them. Additionally, for each recovery watermark, the bitwise exclusive OR (XOR) operation is applied to obtain a single bit for the block authentication procedure. The embedding and extraction process can be implemented in three variants (1-LSB, 2-LSB or 3-LSB) to solve the tampering coincidence problem (TCP). Three, six or nine copies of the generated watermarks can be embedded according to the variant process. Additionally, the embedding stage is implemented in a bit adjustment phase, increasing the watermarked image quality. A particular procedure is applied during a post-processing step to detect the regions affected by the TCP in each recovery watermark, where a single faithful image used for recovery is generated. In addition, we involve an inpainting algorithm to fill the blocks that have been tampered with, significantly increasing the recovery image quality. Simulation results show that the proposed framework demonstrates higher quality for the watermarked images and an efficient ability to reconstruct tampered image regions with extremely high rates (up to 90%). The novel self-recovery scheme has confirmed superior performance in reconstructing altered image regions in terms of objective criteria values and subjective visual perception via the human visual system against other state-of-the-art approaches.

Fragile Watermarking for Color Image Authentication

2007 ◽  
Author(s):  
M. Monzoy-Villuendas ◽  
M. Salinas-Rosales ◽  
M. Nakano-Miyatake ◽  
H. M. Perez-Meana
Keyword(s):  
Color Image ◽  
Image Authentication ◽  
Fragile Watermarking

scholarly journals A Feature-Based Fragile Watermarking of Color Image for Secure E-Government Restoration

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Lusia Rakhmawati ◽  
Wirawan Wirawan ◽  
Suwadi Suwadi ◽  
Titiek Suryani ◽  
E Endroyono
Keyword(s):  
Color Image ◽  
Fragile Watermarking ◽  
Feature Based

scholarly journals Tamper Detection in Color Image

2008 ◽  
Vol 5 (1) ◽  
pp. 155-159
Author(s):  
Baghdad Science Journal
Keyword(s):  
Color Image ◽  
Spatial Domain ◽  
Tamper Detection ◽  
Color Images ◽  
Fragile Watermarking ◽  
Original Image ◽  
Digital Color Images ◽  
Watermarking Scheme

In this work a fragile watermarking scheme is presented. This scheme is applied to digital color images in spatial domain. The image is divided into blocks, and each block has its authentication mark embedded in it, we would be able to insure which parts of the image are authentic and which parts have been modified. This authentication carries out without need to exist the original image. The results show the quality of the watermarked image is remaining very good and the watermark survived some type of unintended modification such as familiar compression software like WINRAR and ZIP

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