![c
International Journal of Research (IJR)
e-ISSN: 2348-6848, p- ISSN: 2348-795X Volume 3, Issue 05, March 2016
Available at http://internationaljournalofresearch.org
Available online:http://internationaljournalofresearch.org/ P a g e | 201
A Survey on Visual Cryptography Schemes
Amal C1, R. Joshua Samuel Raj 2
1
PG student of MCA, KVM College of Engineering and Information Technology, Cherthala, Kerala
2
Vice Principal and Professor, KVM College of Engineering and Information Technology,
Cherthala, Kerala
Abstract- This paper provides an analysis of the
emerging visual cryptography (VC) and related security
method which can be applied to any of the visual
cryptography method. The actual encrypted data
embedded image is displayed if and only if the user
overcomes the cued click point verification. Hacking is
the main issue faced during sharing secrets in visual
schemes. The cued click point method can solve the issue
up to a limit. Cued click point is a technology where the
user has to verify the click points as a security measure
and only then the user is provided with the actual visual
secret image.
Keywords: Visual Cryptography; Cued Click
points; Stereograms.
INTRODUCTION
Visual cryptography is a new technique which
provides information security and uses simple algorithms
unlike the complex, computationally intensive
algorithms used in other techniques in traditional
cryptography. This technique allows visual information
(pictures, text, etc.) to be encrypted in such a way that
their decryption can be performed by the human visual
system, without any complex cryptographic algorithms.
The basic model of visual cryptography proposed by
Naor and Shamir accepts binary image “I” as secret
image, which is divided into “n” number of shares. Each
pixel in image “I” is represented as “m” sub pixels in
each of the “n” shared images. The resulting structure of
each shared image is described by Boolean matrix “S”
Where S= [Sij] an [n x m] matrix Sij=1 if the jth
sub pixel
in the ith
share is black Sij=0 if the jth
sub pixel in the ith
share is white. When the shares are stacked together
secret image can be seen but the size is increased by “m”
times [1].
Sij=1 if the jth sub pixel in the ith share is black
Sij=0 if the jth sub pixel in the ith share is white
Detailed diagram of basic cryptography
Basic flow of visual cryptography
COMPARATIVE STUDY
1. Visual cryptography for general access structures
In (k,n) Basic model any “k” shares will
decode the secret image which reduces security level. To
overcome this issue the basic model is extended to general
access structures by G. Ateniese, C. Blundo, A. De Santis, and
D. R. Stinson, where an access structure is a specification of all
qualified and forbidden subsets of “n” shares. Any subset of
“k” or more qualified shares can decrypt the secret image but
no information can be obtained by stacking lesser number of
qualified shares or by stacking disqualified shares. The length
of encoding at one run is equal to the number of the
consecutive same pixels met during scanning the secret image
Construction of scheme is still satisfactory in the aspects of
increase in relative size and decoded image quality [2].
2. Visual cryptography for gray level images
A (k,n)-threshold visual cryptography
scheme is proposed to encode a secret image into n shadow
images, where any k or more of them can visually recover the
secret image, but any k−1 or fewer of them gain no information
about it. Previous efforts in visual cryptography were restricted
to binary images which is insufficient in real time applications.
Chang- ChouLin, Wen-Hsiang Tsai proposed visual
cryptography for gray level images by dithering techniques.
Instead of using gray sub pixels directly to constructed shares,
a dithering technique is used to convert gray level images into
approximate binary images. Then existing visual cryptography
schemes for binary images are applied to accomplish the work
of creating shares. The effect of this scheme is still satisfactory
in the aspects of increase in relative size and decoded image
quality [3].
3. Recursive Threshold visual cryptography
In recursive hiding of secrets, the user encodes
additional information about smaller secrets in the shares of a
larger secret without an expansion in the size of the latter,
thereby increasing the efficiency of secret sharing. The (k,n)
visual cryptography needs „k‟ shares to reconstruct the secret
image. Each share consists at most [1/k] bits of secrets. This](https://image.slidesharecdn.com/c9658e9c-1f5d-46b8-ac7a-014783563106-161220085837/85/A-Survey-on-Visual-Cryptography-Schemes-1-320.jpg)
![c
International Journal of Research (IJR)
e-ISSN: 2348-6848, p- ISSN: 2348-795X Volume 3, Issue 05, March 2016
Available at http://internationaljournalofresearch.org
Available online:http://internationaljournalofresearch.org/ P a g e | 202
approach suffers from inefficiency in terms of number of bits
of secret conveyed per bit of shares. Recursive threshold visual
cryptography proposed by Abhishek Parakh and SubhasKak
eliminates this problem by hiding of smaller secrets in shares
of larger secrets with secret sizes doubling at every step. When
Recursive threshold visual cryptography is used in network
application, network load is reduced. [4]
4. Halftone Visual Cryptography
Based on the blue-noise dithering
principles, the proposed method utilizes the void and cluster
algorithm to encode a secret binary image into n halftone
shares (images) carrying significant visual information. The
meaningful shares generated in extended visual cryptography
proposed by Mizuho Nakajima and Yasushi yamaguchi was of
poor quality which again increases the suspicion of data
encryption. Zhi Zhou, Gonzalo R. Arce, and Giovanni Di
Crescenzo proposed halftone visual cryptography which
increases the quality of the meaningful shares. In halftone
visual cryptography a secret binary pixel “P” is encoded into an
array of Q1 x Q2 (“m” in basic model) sub pixels, referred to
as halftone cell, in each of the “n” shares. By using halftone
cells with an appropriate size, visually pleasing halftone shares
can be obtained which also maintains contrast and security [5].
5. Progressive visual cryptography
The application of digital half toning techniques
results in some downgrading of the original image quality due
to its inherently lossy nature and it is not possible to recover
the original image from its halftone version. Duo Jin Wei-Qi
Ya n, Mohan S, Kankanhalli[6] proposed a new encoding
method that enables us to transform gray-scale and color
images into monochrome ones without loss of any information.
Incorporating this new encoding Scheme into visual
cryptography technique allows perfect recovery of the secret
grayscale or color image.
6. Regional incrementing Visual Cryptography
In the RIVC scheme, the content of an image S is
designated to multiple regions associated with n secret levels,
and encoded to n+1 shares. VC schemes mentioned above
usually process the content of an image as a single secret i.e. all
of the pixels in the secret image are shared using a single
encoding rule. This type of sharing policy reveals either the
entire image or nothing, and hence limits the secrets in an
image to have the same secrecy property. Ran-Zan Wang
proposed Region Incrementing Visual cryptography for sharing
visual secrets in multiple secrecy level in a single image. The
“n” level RIVC scheme, an image S is designated to multiple
regions associated with secret levels, and encoded to shares [7].
7. Extended visual cryptography for natural images
Extended Visual Cryptography is a type of
cryptography which encodes a number of images in the way
that when the images on transparencies are stacked together,
the hidden message appears without a trace of original images.
All of the VC methods suffer from a severe limitation, which
hinders the objectives of VC. The limitation lies in the fact that
all shares are inherently random patterns carrying no visual
information, raising the suspicion of data encryption. Mizuho
nakajima and Yasushi yamaguchi proposed extended visual
cryptography for natural images constructing meaningful
binary images as shares. This will reduce the cryptanalysts to
suspect secrets from an individual shares. While the previous
researches basically handle only binary images, this scheme
establishes the extended visual cryptography scheme suitable
for natural images [8].
8. Visual cryptography for color images
The researches in visual cryptography leads to the
degradation in the quality of the decoded binary images, which
makes it unsuitable for protection of color image .F.Liu, C.K.
Wu X.J. Lin proposed a new approach on visual cryptography
for colored images. They proposed three approaches as
follows: [9]
1. The first approach to realize color VCS is to print
the colors in the secret image on the shares directly similar to
basic model. It uses larger pixel expansion which reduces the
quality of the decoded color image.
2. The second approach converts a color image into
black and white images on the three color channels (red, green,
blue or equivalently cyan, magenta, yellow), respectively, and
then apply the black and white VCS to each of the color
channels. This results in decrease of pixel expansion but
reduces the quality of the image due to halftone process.
3. The third approach utilizes the binary
representation of the color of a pixel and encrypts the secret
image at the bit-level which results in better quality but
requires devices for decryption.
9. Single Image Random Dot Stereogram visual cryptography
This method exacerbates the pixel
expansion problem and visual quality degradation problem for
recovered images. A binocular VCS (BVCS), called the (2, n)-
BVCS, and an encryption algorithm are proposed to hide the
shared pixels in the single image random dot stereograms
(SIRDSs). Because the SIRDSs have the same 2D appearance
as the conventional shares of a VCS, this method uses SIRDSs
as cover images of the shares of VCSs to reduce the
transmission risk of the shares. The encryption algorithm alters
the random dots in the SIRDSs according to the construction
rule of the (2, n)-BVCS to produce non pixel expansion shares
of the BVCS. Altering the dots in
CONCLUSION
In this study we have referred some of cryptography schemes
for sharing visual secrets. Among the various schemes the
Single Image Random Dot Stereogram visual cryptography
method seems to be more advantageous than the rest since it
overcomes pixel expansion problem and visual quality
degradation problem for recovered images. Combining Single
Image Random Dot Stereogram visual cryptography method
with cued click points will improve the security of the shared
visual content.](https://image.slidesharecdn.com/c9658e9c-1f5d-46b8-ac7a-014783563106-161220085837/85/A-Survey-on-Visual-Cryptography-Schemes-2-320.jpg)
![c
International Journal of Research (IJR)
e-ISSN: 2348-6848, p- ISSN: 2348-795X Volume 3, Issue 05, March 2016
Available at http://internationaljournalofresearch.org
Available online:http://internationaljournalofresearch.org/ P a g e | 203
REFERENCES
[1]. Zhongmin Wang, Gonzalo R. Arce, and Giovanni Di
Crescenzo, “Halftone Visual Cryptography via Error
Diffusion,” IEEE Transactions on Information Forensics and
Security, vol. 4, no. 3, September 2009
[2].M. Naor and B. Pinkas, “Visual authentication and
identification,” Crypto97, LNCS, vol. 1294, pp. 322–340,
1997.
[3]. Zhou, G. R. Arce, and G. Di Crescenzo, “Halftone Visual
Cryptography,” IEEE transactions on Image Processing, to
appear in 2006.
[4]. M. Naor and A. Shamir, “Visual Cryptography,” in
Proceedings of Euro crypt 1994, lecture notes in Computer
Science, 1994, vol. 950, pp. 1–12.a SIRDS will degrade the
visual quality of the requirement of SIRDSs to develop
construction rules for a (2, n)-BVCS that maximize the contrast
of the recovered image in the BVCS [10].
[5]. A. Bonnis and A. Santis, “Randomness in secret sharing
and visual cryptography schemes,” Theory. Computer. Science,
314, pp 351- 374 (2004).
[6]. E.Myodo, S. Sakazawa, Andy. Takishima, “Visual
cryptography based on void-and-cluster half toning technique,”
in Proc. IEEE ICIP, Atlanta, GA, Oct. 2006.
[7]. R. Hwang, “A digital Image Copyright Protection Scheme
Based on Visual Cryptography,” Tambang Journal of science
and Engineering, vol.3, No.2, pp. 97-106 (2000).
[8] Mizuho nakajima, Yasushi yamakuchi ”Extended visual
cryptography for natural images”. Department of Graphics and
Computer Sciences, Graduate School of Arts and Sciences, The
University of Tokyo 3-8-1 Komaba, Meguro-ku, Tokyo 153-
8902, Japan.{mitzy, yama}@graco.c.u-tokyo.ac.jp
[9]. Sozan Abdulla “New Visual Cryptography Algorithm for
Colored Image”, Journal of computing, Vol. 2, issue 4, April
2010, ISSN 2151-9617
[10]. Kai-Hui Lee and Pei-Ling Chiu, “Sharing Visual Secrets
in Single Image Random Dot Stereograms”, IEEE Transactions
on image processing, Vol. 23, No. 10, october 2014
Sr.No Authors Merits Demerits
1
Naor and
Shamir
Provide Security for binary
image Does not generate
meaningful share image
Does not generate meaningful share image
2
G. Ateniese, C. Blundo,
A. De Santis, D. R.
Stinson,
No information can be obtained
by stacking lesser number of
qualified shares
Increased size of image
3
Zhongmin Wang,
Gonzalo R. Arce
Provide meaning full share
images
Trade-off between pixel expansion and
contras of original image
4
Abhishek Parakh and
SubhasKak
When Recursive threshold
visual cryptography is used in
network application, network
load is reduced.
Suffers from inefficiency in terms of
number of bits of secret conveyed per bit of
shares.
5 F.Liu,C.K. Wu X.J. Lin
Visual cryptography for color
image
Requires devices for decryption.
6 Ran-Zan Wang
All of the pixels in the secret
image are shared not using a
single encoding rule.
Limits the secrets in an image to have the
same secrecy property.
7
Mizuho NAKAJIMA,
Yasushi YAMAGUCHI
This will reduce the
cryptanalysts to suspect secrets
from an individual shares.
All shares are inherently random patterns
carrying no visual information.
8
Duo Jin Wei-Qi Ya n,
Mohan S, Kankanhalli
Transform gray-scale and color
images into monochrome ones
without loss of any information
Downgrading of the original image quality
9
Kai-Hui Lee and Pei-
Ling Chiu
The pixel expansion problem
and visual quality degradation
problem for recovered images.
Degrade the visual quality of the
reconstructed 3D objects.](https://image.slidesharecdn.com/c9658e9c-1f5d-46b8-ac7a-014783563106-161220085837/85/A-Survey-on-Visual-Cryptography-Schemes-3-320.jpg)
A Survey on Visual Cryptography Schemes
- 1. c International Journal of Research (IJR) e-ISSN: 2348-6848, p- ISSN: 2348-795X Volume 3, Issue 05, March 2016 Available at http://internationaljournalofresearch.org Available online:http://internationaljournalofresearch.org/ P a g e | 201 A Survey on Visual Cryptography Schemes Amal C1, R. Joshua Samuel Raj 2 1 PG student of MCA, KVM College of Engineering and Information Technology, Cherthala, Kerala 2 Vice Principal and Professor, KVM College of Engineering and Information Technology, Cherthala, Kerala Abstract- This paper provides an analysis of the emerging visual cryptography (VC) and related security method which can be applied to any of the visual cryptography method. The actual encrypted data embedded image is displayed if and only if the user overcomes the cued click point verification. Hacking is the main issue faced during sharing secrets in visual schemes. The cued click point method can solve the issue up to a limit. Cued click point is a technology where the user has to verify the click points as a security measure and only then the user is provided with the actual visual secret image. Keywords: Visual Cryptography; Cued Click points; Stereograms. INTRODUCTION Visual cryptography is a new technique which provides information security and uses simple algorithms unlike the complex, computationally intensive algorithms used in other techniques in traditional cryptography. This technique allows visual information (pictures, text, etc.) to be encrypted in such a way that their decryption can be performed by the human visual system, without any complex cryptographic algorithms. The basic model of visual cryptography proposed by Naor and Shamir accepts binary image “I” as secret image, which is divided into “n” number of shares. Each pixel in image “I” is represented as “m” sub pixels in each of the “n” shared images. The resulting structure of each shared image is described by Boolean matrix “S” Where S= [Sij] an [n x m] matrix Sij=1 if the jth sub pixel in the ith share is black Sij=0 if the jth sub pixel in the ith share is white. When the shares are stacked together secret image can be seen but the size is increased by “m” times [1]. Sij=1 if the jth sub pixel in the ith share is black Sij=0 if the jth sub pixel in the ith share is white Detailed diagram of basic cryptography Basic flow of visual cryptography COMPARATIVE STUDY 1. Visual cryptography for general access structures In (k,n) Basic model any “k” shares will decode the secret image which reduces security level. To overcome this issue the basic model is extended to general access structures by G. Ateniese, C. Blundo, A. De Santis, and D. R. Stinson, where an access structure is a specification of all qualified and forbidden subsets of “n” shares. Any subset of “k” or more qualified shares can decrypt the secret image but no information can be obtained by stacking lesser number of qualified shares or by stacking disqualified shares. The length of encoding at one run is equal to the number of the consecutive same pixels met during scanning the secret image Construction of scheme is still satisfactory in the aspects of increase in relative size and decoded image quality [2]. 2. Visual cryptography for gray level images A (k,n)-threshold visual cryptography scheme is proposed to encode a secret image into n shadow images, where any k or more of them can visually recover the secret image, but any k−1 or fewer of them gain no information about it. Previous efforts in visual cryptography were restricted to binary images which is insufficient in real time applications. Chang- ChouLin, Wen-Hsiang Tsai proposed visual cryptography for gray level images by dithering techniques. Instead of using gray sub pixels directly to constructed shares, a dithering technique is used to convert gray level images into approximate binary images. Then existing visual cryptography schemes for binary images are applied to accomplish the work of creating shares. The effect of this scheme is still satisfactory in the aspects of increase in relative size and decoded image quality [3]. 3. Recursive Threshold visual cryptography In recursive hiding of secrets, the user encodes additional information about smaller secrets in the shares of a larger secret without an expansion in the size of the latter, thereby increasing the efficiency of secret sharing. The (k,n) visual cryptography needs „k‟ shares to reconstruct the secret image. Each share consists at most [1/k] bits of secrets. This
- 2. c International Journal of Research (IJR) e-ISSN: 2348-6848, p- ISSN: 2348-795X Volume 3, Issue 05, March 2016 Available at http://internationaljournalofresearch.org Available online:http://internationaljournalofresearch.org/ P a g e | 202 approach suffers from inefficiency in terms of number of bits of secret conveyed per bit of shares. Recursive threshold visual cryptography proposed by Abhishek Parakh and SubhasKak eliminates this problem by hiding of smaller secrets in shares of larger secrets with secret sizes doubling at every step. When Recursive threshold visual cryptography is used in network application, network load is reduced. [4] 4. Halftone Visual Cryptography Based on the blue-noise dithering principles, the proposed method utilizes the void and cluster algorithm to encode a secret binary image into n halftone shares (images) carrying significant visual information. The meaningful shares generated in extended visual cryptography proposed by Mizuho Nakajima and Yasushi yamaguchi was of poor quality which again increases the suspicion of data encryption. Zhi Zhou, Gonzalo R. Arce, and Giovanni Di Crescenzo proposed halftone visual cryptography which increases the quality of the meaningful shares. In halftone visual cryptography a secret binary pixel “P” is encoded into an array of Q1 x Q2 (“m” in basic model) sub pixels, referred to as halftone cell, in each of the “n” shares. By using halftone cells with an appropriate size, visually pleasing halftone shares can be obtained which also maintains contrast and security [5]. 5. Progressive visual cryptography The application of digital half toning techniques results in some downgrading of the original image quality due to its inherently lossy nature and it is not possible to recover the original image from its halftone version. Duo Jin Wei-Qi Ya n, Mohan S, Kankanhalli[6] proposed a new encoding method that enables us to transform gray-scale and color images into monochrome ones without loss of any information. Incorporating this new encoding Scheme into visual cryptography technique allows perfect recovery of the secret grayscale or color image. 6. Regional incrementing Visual Cryptography In the RIVC scheme, the content of an image S is designated to multiple regions associated with n secret levels, and encoded to n+1 shares. VC schemes mentioned above usually process the content of an image as a single secret i.e. all of the pixels in the secret image are shared using a single encoding rule. This type of sharing policy reveals either the entire image or nothing, and hence limits the secrets in an image to have the same secrecy property. Ran-Zan Wang proposed Region Incrementing Visual cryptography for sharing visual secrets in multiple secrecy level in a single image. The “n” level RIVC scheme, an image S is designated to multiple regions associated with secret levels, and encoded to shares [7]. 7. Extended visual cryptography for natural images Extended Visual Cryptography is a type of cryptography which encodes a number of images in the way that when the images on transparencies are stacked together, the hidden message appears without a trace of original images. All of the VC methods suffer from a severe limitation, which hinders the objectives of VC. The limitation lies in the fact that all shares are inherently random patterns carrying no visual information, raising the suspicion of data encryption. Mizuho nakajima and Yasushi yamaguchi proposed extended visual cryptography for natural images constructing meaningful binary images as shares. This will reduce the cryptanalysts to suspect secrets from an individual shares. While the previous researches basically handle only binary images, this scheme establishes the extended visual cryptography scheme suitable for natural images [8]. 8. Visual cryptography for color images The researches in visual cryptography leads to the degradation in the quality of the decoded binary images, which makes it unsuitable for protection of color image .F.Liu, C.K. Wu X.J. Lin proposed a new approach on visual cryptography for colored images. They proposed three approaches as follows: [9] 1. The first approach to realize color VCS is to print the colors in the secret image on the shares directly similar to basic model. It uses larger pixel expansion which reduces the quality of the decoded color image. 2. The second approach converts a color image into black and white images on the three color channels (red, green, blue or equivalently cyan, magenta, yellow), respectively, and then apply the black and white VCS to each of the color channels. This results in decrease of pixel expansion but reduces the quality of the image due to halftone process. 3. The third approach utilizes the binary representation of the color of a pixel and encrypts the secret image at the bit-level which results in better quality but requires devices for decryption. 9. Single Image Random Dot Stereogram visual cryptography This method exacerbates the pixel expansion problem and visual quality degradation problem for recovered images. A binocular VCS (BVCS), called the (2, n)- BVCS, and an encryption algorithm are proposed to hide the shared pixels in the single image random dot stereograms (SIRDSs). Because the SIRDSs have the same 2D appearance as the conventional shares of a VCS, this method uses SIRDSs as cover images of the shares of VCSs to reduce the transmission risk of the shares. The encryption algorithm alters the random dots in the SIRDSs according to the construction rule of the (2, n)-BVCS to produce non pixel expansion shares of the BVCS. Altering the dots in CONCLUSION In this study we have referred some of cryptography schemes for sharing visual secrets. Among the various schemes the Single Image Random Dot Stereogram visual cryptography method seems to be more advantageous than the rest since it overcomes pixel expansion problem and visual quality degradation problem for recovered images. Combining Single Image Random Dot Stereogram visual cryptography method with cued click points will improve the security of the shared visual content.
- 3. c International Journal of Research (IJR) e-ISSN: 2348-6848, p- ISSN: 2348-795X Volume 3, Issue 05, March 2016 Available at http://internationaljournalofresearch.org Available online:http://internationaljournalofresearch.org/ P a g e | 203 REFERENCES [1]. Zhongmin Wang, Gonzalo R. Arce, and Giovanni Di Crescenzo, “Halftone Visual Cryptography via Error Diffusion,” IEEE Transactions on Information Forensics and Security, vol. 4, no. 3, September 2009 [2].M. Naor and B. Pinkas, “Visual authentication and identification,” Crypto97, LNCS, vol. 1294, pp. 322–340, 1997. [3]. Zhou, G. R. Arce, and G. Di Crescenzo, “Halftone Visual Cryptography,” IEEE transactions on Image Processing, to appear in 2006. [4]. M. Naor and A. Shamir, “Visual Cryptography,” in Proceedings of Euro crypt 1994, lecture notes in Computer Science, 1994, vol. 950, pp. 1–12.a SIRDS will degrade the visual quality of the requirement of SIRDSs to develop construction rules for a (2, n)-BVCS that maximize the contrast of the recovered image in the BVCS [10]. [5]. A. Bonnis and A. Santis, “Randomness in secret sharing and visual cryptography schemes,” Theory. Computer. Science, 314, pp 351- 374 (2004). [6]. E.Myodo, S. Sakazawa, Andy. Takishima, “Visual cryptography based on void-and-cluster half toning technique,” in Proc. IEEE ICIP, Atlanta, GA, Oct. 2006. [7]. R. Hwang, “A digital Image Copyright Protection Scheme Based on Visual Cryptography,” Tambang Journal of science and Engineering, vol.3, No.2, pp. 97-106 (2000). [8] Mizuho nakajima, Yasushi yamakuchi ”Extended visual cryptography for natural images”. Department of Graphics and Computer Sciences, Graduate School of Arts and Sciences, The University of Tokyo 3-8-1 Komaba, Meguro-ku, Tokyo 153- 8902, Japan.{mitzy, yama}@graco.c.u-tokyo.ac.jp [9]. Sozan Abdulla “New Visual Cryptography Algorithm for Colored Image”, Journal of computing, Vol. 2, issue 4, April 2010, ISSN 2151-9617 [10]. Kai-Hui Lee and Pei-Ling Chiu, “Sharing Visual Secrets in Single Image Random Dot Stereograms”, IEEE Transactions on image processing, Vol. 23, No. 10, october 2014 Sr.No Authors Merits Demerits 1 Naor and Shamir Provide Security for binary image Does not generate meaningful share image Does not generate meaningful share image 2 G. Ateniese, C. Blundo, A. De Santis, D. R. Stinson, No information can be obtained by stacking lesser number of qualified shares Increased size of image 3 Zhongmin Wang, Gonzalo R. Arce Provide meaning full share images Trade-off between pixel expansion and contras of original image 4 Abhishek Parakh and SubhasKak When Recursive threshold visual cryptography is used in network application, network load is reduced. Suffers from inefficiency in terms of number of bits of secret conveyed per bit of shares. 5 F.Liu,C.K. Wu X.J. Lin Visual cryptography for color image Requires devices for decryption. 6 Ran-Zan Wang All of the pixels in the secret image are shared not using a single encoding rule. Limits the secrets in an image to have the same secrecy property. 7 Mizuho NAKAJIMA, Yasushi YAMAGUCHI This will reduce the cryptanalysts to suspect secrets from an individual shares. All shares are inherently random patterns carrying no visual information. 8 Duo Jin Wei-Qi Ya n, Mohan S, Kankanhalli Transform gray-scale and color images into monochrome ones without loss of any information Downgrading of the original image quality 9 Kai-Hui Lee and Pei- Ling Chiu The pixel expansion problem and visual quality degradation problem for recovered images. Degrade the visual quality of the reconstructed 3D objects.