TY  - JOUR
T1  - Curvelet Transform Based Visible Colour Image Watermarking
Technique Using VLSI
AU - Senthilkumar, M. AU - Periasamy, P.S. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 23
SP  - 4820
EP  - 4827
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4820.4827
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4820.4827
KW  - Curvelet transform
KW  -RC4
KW  -private keys
KW  -stream cipher
KW  -encryption
KW  -cryptography
KW  -watermarking
AB  - Due to rapid development in the network and communication field, it has become necessary to protect
the data 0during transmission. Digital watermarking is a solution to the copyright protectionand authentication
of data in the network. This study aims to prevent unauthorized duplication of image and to transmit
confidential image. By this way hackers will not suspect the existence of secret information. Conventional
methods having information loss during recovery, it will be easily hacked, lower embedding capacity, requires
more memory and power consumption. The proposed scheme offers an effective protection, data embedding
along with high security. Curvelet transform and inverse curvelet transformare performed andthenvisible logo
isembedded on colour image. For transferring confidential data, a content owner encrypts the original
uncompressed colour image using an encryption key and then image-hider will compress the LSB ofeach pixel
of all three planes in the encrypted colour image using an image-hiding key to create a space to hold secret
image. In order to extract secret image and to recover the original content simultaneously both image hiding key
and encryption key are necessary. Lower memory requirements, speed of encryption and randomization in
encryption key generation are improved by parallel RC4 algorithm. Hidden image security will be increased by
odd and even shuffling of secret image bits within compressed encrypted colour image. It has good embedding
capacity and better quality recovered image than conventional methods.
ER  - 