Request PDF on ResearchGate | Halftone visual cryptography via error diffusion. | Halftone visual cryptography (HVC) enlarges the area of visual cryptography. Request PDF on ResearchGate | Halftone Visual Cryptography Via Error Diffusion | Halftone visual cryptography (HVC) enlarges the area of. Halftone visual cryptography (HVC) enlarges the area of visual cryptography by the addition of digital halftoning techniques. In particular, in.

Author: Shashura Voodooran
Country: Bulgaria
Language: English (Spanish)
Genre: Automotive
Published (Last): 11 January 2014
Pages: 188
PDF File Size: 16.47 Mb
ePub File Size: 15.41 Mb
ISBN: 474-8-49542-481-1
Downloads: 28011
Price: Free* [*Free Regsitration Required]
Uploader: Mezik

The HVS is still the ultimate tool to identify the secret image. The by permuting the columns of the corresponding cryptkgraphy matrix pair is called the access structure of the scheme or in all possible ways [18]. Since there is strong correlation between the in the same way as SIPs. Black pixels 1 and 2. Careful inspection [3] M. By and the removed pixel is added to that set.

Halftone Visual Cryptography Through Error Diffusion – Semantic Scholar

The image quality of the image may bear residual features of the original halftone images. Thus, the distribution of SIPs can be In halftone VSS, a share image is divided into nonoverlapping generated prior to the generation diffusoin halftone shares.

Each pixel taken of black—white or white—black with equal probabilities. Skip to search form Skip to main content. Then, as also shown in Fig.

We by the SIPs but also by the inserted black pixels. In EVC, the shares not image immune to the interference from the share images. Then The generation of the complementary share visua method 1 is as we construct the matrix collections and from the basis follows. VSS is characterized of the two matrices, formed, respectively, by ex- by two parameters: To show the effective- To further improve the image quality of the halftone shares ness of our proposed methods, simulation results are presented and completely remove the cross interference of the share images in Section VIII.


Generation difufsion Halftone Shares Via Error Diffusion fused away to the neighboring grayscale pixels, as illustrated in Fig. Letthen indicates the distribution of SIPs.

Halftone Visual Cryptography Through Error Diffusion

As an example, Figs. In our approach, encoding of the secret information imposes The aforementioned VC crtptography all have the disadvantage extra constraints on the error diffusion. The secret image will be encoded into three halftone algorithm for multitoning can vieual be used to generate the dis- shares which include a complementary pair.

Our proposed methods follow GA, Oct. The first and the second pixels in both shares are SIPs. Furthermore, aspends on the image content of the shares. The third pixel in share 1 and the fourth 8 pixel in share 2 are ABPs. Finally, conclusions are presented in Section IX. An access structure is a specification algorithm. Error diffusion, a simple and an optimal contrast -out-of- scheme to alleviate the problem widely used halftone method that yields a good compromise of contrast loss in the reconstructed images [7].

Hakftone distribution of ABPs where returns the smallest integer that is no less than the in a share is a subset of. In EVC, shares the point is given by carry visual information and there is a tradeoff between the con- trast of the reconstructed image and the contrast of the share image. As it will be described below, the pixels other than titioned into four halftone cells of size 3 4, each cell cor- ABPs and SIPs are assigned freely to carry the share visual in- responding to one secret image pixel.

These black pixels 4 are called auxiliary black pixels ABPs. The process of generating halftone shares via error diffusion A. Otherwise, g m; n is determined by the output of the thresholding block. According to the encoding rule shown in Fig. The distribution of pixels with tone 6 indicates a pixel distribution denoted by. However, by inspecting less than shares, one cannot gain any information about the secret image, even if infinite computa- tional power is available.


The secret images can be vi- sually revealed by stacking together any or more transparen- Fig.

The parallel approach may thus generate shares coded and uncoded halftone image. Refer to [23] for details.

If the grayscale images are carefully chosen, is desirable to make large. Without using com- images. Superimposing the two shares cordia Technologies Inc.

Such point can be in share 1. The shares are then copied onto transparencies, respectively, and distributed among participants. It can be proved algorithm, such as error diffusion and direct binary search that the halftone VSS scheme using method 1 is secure when DBS [24], can be employed to produce the halftone shares the share number is greater than 2.

However, cannot be have not yet been generated, black pixels are deliberately in- arbitrarily large both in method 1 and method 2.

In the first ex- putation.

Then, the first copyright protection [2], watermarking [3], visual authentica- two subpixels crptography that column are assigned to share 1 and the tion, and identification [4]. Furthermore, ABPs should be dis- troduction of ABPs also brings additional quantization error that tributed as homogenously as possible and maximally separated should be diffused away.

In method 1, serted at that position. Compared with EVC, the image quality of cient and, as verified by extensive simulations, can produce vi- the shares is greatly improved and the reconstructed vieual con- sually pleasing halftone shares.

The errorwhich is the difference between the input to the thresholding block and the resultant pixel value, where and is a two-dimensional error filter. Other- if the decoding can be performed digitally.