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1
EN
The Lossless data hiding provides the embedding of data in a host image without any loss of data. This research explain a lossless data hiding and image cryptography method based on Choas - Block to image encryption the lossless means if the marked image is considered reliable, the embedding distortion can be totally removed from marked image afterward the embedded data has been extract. This procedure uses features of the pixel difference to embed more data than other randomly partition using Block based Sharpness Index Filtering and refine with single level wavelet decomposition shifting technique to prevent image distortion problems. In this work also manages reversible data hiding based on chaotic technique. In which initially image histogram processes to perceive the pixels which is chosen for hiding each bit of secret data, then by the logistic chaotic map compute an order of hiding each bit stream. Performances differentiate with other exist lossless data hiding plan providing show the superiority of the research. In this proposed research PSNR is found nearly 5.5*103 and existing 4.8*103 at 100 embedding rate which enhance for our existing technique that simulated in MATLAB 2014Ra.
2
Content available remote Reversible Data Hiding Scheme Based on Image Inpainting
EN
Reversible/lossless image data hiding schemes provide the capability to embed secret information into a cover image where the original carrier can be totally restored after extracting the secret information. This work presents a high performance reversible image data hiding scheme especially in stego image quality control using image inpainting, an efficient image processing skill. Embeddable pixels chosen from a cover image are initialized to a fixed value as preprocessing for inpainting. Subsequently, these initialized pixels are repaired using inpainting technique based on partial differential equations (PDE). These inpainted pixels can be used to carry secret bits and generate a stego image. Experimental results show that the proposed scheme produces low distortion stego images and it also provides satisfactory hiding capacity.
3
Content available remote A novel data hiding and reversible scheme using SMN blocks in VQ-compressed images
EN
Data hiding is a technique for embedding secret data into cover media. It is important to multimedia security and has been widely studied. Reversible data hiding methods are becoming prevalent in the area because they can reconstruct the original cover image while extracting the embedded data. In this paper, we propose a new reversible method for vector quantization (VQ) compressed images. Our method takes advantages of the relationship among the side match neighbouring (SMN) blocks to achieve reversibility. The experimental results show that the proposed method has higher compression rate and larger capacity than other existing reversible methods.
4
Content available remote Reversible Steganography for BTC-compressed Images
EN
Reversible steganography becomes a popular hiding problem in recent years. A reversible steganographicmethod can reconstruct an original image without loss from the stego-image after extracting the embedded data. Unlike traditional reversible methods in which data is hidden in uncompressed images, we propose a reversible scheme for BTC (block truncation coding)- compressed images. The secret data embedded in the compressed image are more difficult to detect than in the uncompressed image. To achieve reversibility, the properties of side matching and BTCcompressed code are applied. The experimental results show that the proposed method is feasible for BTC-compressed images and can embed one more bit in each BTC-encoded block.
5
Content available remote Reversible Data Hiding Based on Three-Circular-Pixel Difference Expansion
EN
This paper proposes a reversible data hiding scheme based on three-circular-pixel (TCP) difference expansion. To embed a message in an image, the image is divided into three-pixel blocks, each of which is, then, transformed into a TCP block with two differences. When the pixel value of the largest pixel in the TCP block is increased, two differences are increased—one is between the largest and the smallest, and the other is between the largest and the middle. Expanding the two differences in the block by increasing the largest pixel value may make the image less modified. In addition, the number of pixel pairs is increased to two thirds of the number of pixels in the image. Compared to Tian's study, both the visual quality and the embedding capacity of the image are significantly improved.
6
Content available remote High-Performance Reversible Data Hiding
EN
This paper proposes a high-performance reversible data hiding algorithm based on the block difference histogram of a cover image. If a message is to be embedded into an image, the difference of the block at the maximum point is increased by 1 or left unchanged if the message bit is 1" or 0", respectively. Experimental results show that the average payload capacity of the test images can be up to 1.52 bits per pixel (bpp). Average payload and pure payload capacities for PSNR ^(3) 30 dB can be up to 1.13 bpp and 1.06 bpp, respectively. Moreover, the original cover image can be recovered without any distortion and the implementation of the proposed algorithm is very easy.
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