Lossy compression and iterative reconstruction for encrypted image

Lossy compression and iterative reconstruction for encrypted image








Lossy compression and iterative reconstruction for encrypted image
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ABSTRACT This work proposes a novel scheme for lossy compression of an encrypted image with flexible compression ratio. A pseudorandom permutation is used to encrypt an original image, and the encrypted data are efficiently compressed by discarding the excessively 

Image encryption using block-based transformation algorithm
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For steganography, encrypted image has been altered by least significant bits (LSBs) of the cover image and obtained stego image , then stego image has been watermarked in the time domain and frequency domain to ensure the ownership Fig 4.3: Encrypted Image (baboon)

NPCR and UACI randomness tests for image encryption
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The remainder of the paper is organized as follows: Section II gives the mathematical model of an ideally encrypted image and derives the expectations, variances and hypothesis tests of NPCR and UACI; Section III gives numerical results of these expectations, variances and Abstract Secret Image Sharing (SIS) scheme is to encrypt a secret image into nspecious shadows. It is unable to reveal any data on the secret image if at least one of the shadows is not achieved. In this paper, wavelet-based secret image sharing scheme is proposed with

Image encryption using DCT and stream cipher
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In low-level security encryption, the encrypted image has degraded visual quality compared to that of the original one, but the content of the image is still visible and understandable to the viewers Selection of some DCT coefficients Encrypted Image IDCT Stream Cipher Key

A modified AES based algorithm for image encryption
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In low-level security encryption, the encrypted image has degraded visual quality compared to that of the original one, but the content of the image is still visible and understandable to the viewers Histogram of encrypted image Original image Histogram of original image Mobile could computing (MCC) is the availability of cloud computing services in the mobile ecosystem. MCC integrates the cloud computing into the mobile environment and has been introduced to be a potential technology for mobile devices. Although mobile devices brought

Image security via genetic algorithm
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In each stages of the genetic algorithm, the answer obtained from previous iteration is optimized so that the best encrypted image with the highest entropy and the lowest correlation coefficient among adjacent pixels is produced. 1. IntroductionThis work proposes a novel method for hiding patient details in encrypted image , which is made up of image encryption, data embedding and data-extraction/ image -recovery phases 1. Original image is divided into tiles. 2. Tiled image is encrypted using standard stream cipher

Efficiency analysis and security evaluation of image encryption schemes
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In traditional cryptographic techniques, like block cipher, change in a single bit of the encrypted image can cause a complete decryption failure When correlation coefficient is1 then encrypted image is negative of original (plaintext) image

A survey on different image encryption and decryption techniques
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This paper presents a survey of over 25 research papers dealing with image encryption techniques scrambled the pixels of the image and decrease the correlation among the pixels, so that we will get lower correlation among the pixel and get the encrypted image

A new image encryption approach using combinational permutation techniques
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Further, the amount of redundant information available in the encrypted image is kept as low as possible, thereby providing fairly high security level against casual observers The entire array of these permuted pixels forms the encrypted image The watermark is encrypted using double random fractional order Fourier domain encoding scheme. Encrypted image is water marked into a host image The function e ST, 1 6is the encrypted image of watermark fxy, 1 6. The RPMs, rxy, 1 6and r YI, 1 6are two independent

Reversible data hiding for encrypted image
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This paper gives the reversible data hiding scheme for encrypted image . Using stream cipher after encrypting the entire data of uncompressed form, we can embed the additional data into an image by modifying a small proportion of an image . Once data is encrypted and

Secure image encryption without size limitation using Arnold transform and random strategies
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(1) where (x, y) and (x, y) are the pixel coordinates of the original image and the encrypted image , respectively where J(x, y)(0) is a pixel of the encrypted image , and J(x, y)(k) is a decrypted pixel by performing k iterations

Image encryption using different techniques: A review
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image . Firstly, they use the image encryption algorithm to convert original image to encrypted image . Then they apply noise on the encrypted image and then decrypt cipher image with noise back to original image . They have

Simple and secure image encryption
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Encryption is employed to increase the data security. The Encrypted Image is secure from any kind cryptanalysis 2.2 ALGORITHM FOR DECRYPTION 1) Input encrypted image . 2) Encrypt the selected coefficient by XORing with a random bit generated by random bit generator

A novel encryption method for image security
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The main idea behind the proposed method to encrypt digital images is trying to create an easiest and high secure encryption and decryption method that is satisfying good confusion and diffusion features in the encrypted image (b) Encrypted Image with 16-bits Key Abstract In this paper, we present an image encryption scheme that has the capability to tolerate noisy effects of a wireless channel. This means if the encrypted image data is corrupted by channel noise up to a certain level, correct decryption is possible with some distortion

An enhanced chaotic image encryption
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Table 1: correlation coefficient of encrypted image . 3.3 (a) (b) (c) Fig 2: (a) horizontal, (b) vertical and (c) diagonal correlation matrix of encrypted image It is clear from Fig 2 that there is negligible correlation between the two adjacent pixels in the encrypted image . Page 5encrypted image , or watermark embedding in encrypted images. As protocols. A final problem is that encrypting each pixel separately increases the size of the encrypted -SOFTWARE SALES SERVICE-https://www.engpaper.net--