Multivariate Entropy Detector Based Hybrid Image Registration

Sandula, Pavan; Sridhar, G.; Sridhar, V.

doi:10.1109/icassp.2005.1415544

Cited by 18 publications

(10 citation statements)

References 8 publications

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“…The proposed approach extracts salient descriptors from the two images using a multivariate entropy-based detector. The transformation parameters are obtained after establishing the correspondence between the salient descriptors of the two images [9]. 365 H. H. Pang, K. L. Tan, and X. Zhou, in 2004 introduced StegFD, a steganographic file driver that securely hides user-selected files in a file system so that, without the corresponding access keys, an attacker would not be able to deduce their existence.…”

Section: Earlier Workmentioning

confidence: 99%

Authentication and Secret Message Transmission Technique Using Discrete Fourier Transformation

Bhattacharyya¹,

Dutta²,

Das³

et al. 2009

IJCNS

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In this paper a novel technique, Authentication and Secret Message Transmission using Discrete Fourier Transformation (ASMTDFT) has been proposed to authenticate an image and also some secret message or image can be transmitted over the network. Instead of direct embedding a message or image within the source image, choosing a window of size 2 x 2 of the source image in sliding window manner and then convert it from spatial domain to frequency domain using Discrete Fourier Transform (DFT). The bits of the authenticating message or image are then embedded at LSB within the real part of the transformed image. Inverse DFT is performed for the transformation from frequency domain to spatial domain as final step of encoding. Decoding is done through the reverse procedure. The experimental results have been discussed and compared with the existing steganography algorithm S-Tools. Histogram analysis and Chi-Square test of source image with embedded image shows the better results in comparison with the S-Tools.

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Section: Earlier Workmentioning

confidence: 99%

Authentication and Secret Message Transmission Technique Using Discrete Fourier Transformation

Bhattacharyya¹,

Dutta²,

Das³

et al. 2009

IJCNS

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“…Data hiding [1] in the image has become an important technique for image authentication and identification. Ownership verification [8] and authentication is the major task for military people, research institute, and scientist. Image authentication is a technique for inserting information into an image for identification and authentication.…”

Section: Introductionmentioning

confidence: 99%

“…Dumitrescu et al [4] construct an algorithm for detecting LSB steganography. Pavan et al [8] used entropy based technique for detecting the suitable areas in the document image where data can be embedded with minimum distortion. S-Tools [11] works by spreading the bit pattern of the file that you want to hide across least significant bits (LSBs) of the color levels in the image to prevent the prediction of potential enemy.…”

Section: Introductionmentioning

confidence: 99%

A Novel Technique for Image Authentication in Frequency Domain Using Discrete Fourier Transformation Technique (IAFDDFTT)

Ghoshal

Mandal

2008

MJCS

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“…Because of the continual changes at the cutting edge of steganography and the large amount of data involved, steganalysists have suggested using machine learning techniques to characterize images as suspicious or nonsuspicious developed by Mittal et al [7] . Pavan et al [8] used entropy based technique for detecting the suitable areas in the document image where data can be embedded with minimum distortion. When using a 24 bit colour image, a bit of each of the red, green and blue colour components can be used, so a total of 3 bits can be stored in each pixel.…”

Section: Introductionmentioning

confidence: 99%

“…We discuss two types of attacks to be sure that our process for embedded data is worked efficiently. The first attack concerns to work against visual attacks [7,9] to make the ability of humans is unclearly discern between noise and visual patterns, and the second attack concerns to work against statistical attacks [3,8,10,11] to make it much difficult to automate.…”

Section: Introductionmentioning

confidence: 99%

Hiding a Large Amount of Data with High Security Using Steganography Algorithm

El-Emam¹

2007

J. of Computer Science

112

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This study deals with constructing and implementing new algorithm based on hiding a large amount of data (image, audio, text) file into color BMP image. We have been used adaptive image filtering and adaptive image segmentation with bits replacement on the appropriate pixels. These pixels are selected randomly rather than sequentially by using new concept defined by main cases with their sub cases for each byte in one pixel. This concept based on both visual and statistical. According to the steps of design, we have been concluded 16 main cases with their sub cases that cover all aspects of the input data into color bitmap image. High security layers have been proposed through three layers to make it difficult to break through the encryption of the input data and confuse steganalysis too. Our results against statistical and visual attacks are discussed and make comparison with the previous Steganography algorithms like S-Tools. We show that our algorithm can embed efficiently a large amount of data that has been reached to 75% of the image size with high quality of the output.

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Multivariate Entropy Detector Based Hybrid Image Registration

Cited by 18 publications

References 8 publications

Authentication and Secret Message Transmission Technique Using Discrete Fourier Transformation

Authentication and Secret Message Transmission Technique Using Discrete Fourier Transformation

A Novel Technique for Image Authentication in Frequency Domain Using Discrete Fourier Transformation Technique (IAFDDFTT)

Hiding a Large Amount of Data with High Security Using Steganography Algorithm

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