Secret message in the form of image can be concealed into two or more images in Visual Cryptography (VC) schemes. The secret image can be recovered simply by stacking the shares together without any complex computation involved. The shares do not reveal any information about the secret image if they are viewed separately. In this paper, a color visual cryptography scheme using a combination of Meaningful Shares (MS) and a Key Share (KS) is proposed. These MS will not provoke the attention of hackers. The proposed scheme makes use of the XOR operation to create KS from the MS and secret image. The secret image can be decrypted by stacking the n-1 meaningful shares and key shares together by performing XOR operation. Experimental results show that the new scheme is perfectly applicable and achieves a high two level security.

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As there is rapid growth in the digital world, security becomes a major concern for data transmission using image techniques. Visual cryptography (VC) is recent technology in the cryptographic scheme, which is utilized them secret images to be shared securely and also its data is preserved with higher confidentiality. In general, when sender the forwards the secret images which is split into several images and keeps its hidden data in it, so when all the distributed images are aligned and stacked unitedly, they incline to exhibit the secret image data to the receiver. Previous visual cryptography technology, privacy of the share images is not preserved because of the other duplicate shares which can so easily alter or insert some other images, it remains to be the major challenge in the VC. The shared images are obtained by using the basic knowledge of visual (2,2) scheme. To overcome those kind of security issues, we propose the advance halftone secure secret sharing scheme with error diffusion techniques in the visual cryptography.At first, the visible images is translated into halftones shares by employing halftone error diffusion scheme. Next, the secret image is converted into halftone shares containing efficient visual information. Thus the shared images are disseminated to particular participants and then they are extremely enforced to reveal the secret images. When the shares are generated, it is uses the halftone processing, which first the encryption the images with high quality secret images and then decryption the secret images with same image quality by using diffusion methodology with high quality images. Form the experimental results, it is illustrated that the secret images have very minimum error difference, secret images data is highly impossible to be retrieved by fraudulent shares. Thus the proposed method a provides higher security with quality secret images for the encryption and decryption of the images, which contains fast execution, accuracy and minimum error value.

The image compression methods aim to compress color image while ensuring that noise removal compression technique produce the good quality level images. The storage of images is becoming difficult with number of images growing to million and billions. Hence the image compression becoming absolute necessity in computing field. The Discrete Cosine Transform is widely used in image compression technique. Redundant information in an image needs to be eliminated by adopting intelligent method. In the recent research attempts better quality of compression is observed with the use of Discrete Cosine Transform (DCT) and Quantization. In this paper, the proposed system efficient image encoder removes the sinusoidal noise from original image by Butterworth Band Reject Filter (BBRF) algorithm in FDCT color image compression. The objective of this color image compression scheme is efficiently noise removal image, calculate the Compression Ratio(CR), Peak Signal to Noise Ratio (PSNR) Mean Square Error (MSE) by changing the FDCT level and using Fine Inverse Discrete Cosine Transform (F-IDCT) factor while preserving the quality of reconstructed image. Experimentation has been carried out on different image formats successfully. The proposed system achieved a good compression ratio and considerable test application for the quality of the reconstructed color image.