A Survey on Various Approaches of Image Steganography

Kutade, Priyanka B.; Bhalotra, Parul S. Arora

doi:10.5120/19165-0620

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Image processing is a common type of image processing. Image processing techniques include enhancement, encoding, restoration and compression [18].…”

Section: Digital Image Processingmentioning

confidence: 99%

Lung cancer detection using image processing and deep learning

Al-Ameer

Hussien

Al-Ameri

2022

IJEECS

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This project is about the detection of lung cancer by training a model of deep neural networks using histopathological lung cancer tissue images. Deferent models have been proposed for detecting lung cancer cells automatically involving Inception V3, Random Forest, and convolutional neural network (CNN). The deep convolutional neural network has been trained to extract important features that facilitate build detection and diagnosis of lung cancer cells more efficiently and accurately. The proposed method in this project has accomplished promising and satisfactory results in terms of accuracy, precision, recall, F-score, and specificity measure in lung cancer detection. Furthermore, it has been applied on dataset which contains 178,000 photos. The accuracy values that are obtained are accuracy 97.09%, precision 96.89%, recall 97.31%, F-score measure 97.09%, and specificity measure 96.88%.

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“…Image processing is a common type of image processing. Image processing techniques include enhancement, encoding, restoration and compression [18].…”

Section: Digital Image Processingmentioning

confidence: 99%

Lung cancer detection using image processing and deep learning

Al-Ameer

Hussien

Al-Ameri

2022

IJEECS

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“…Several studies have investigated the various Steganography image approaches utilized to conceal messages in concealment objects [24][25][26][27]. The critical problem of communication concealing methods is to embed the most significant volume of communication in the cover object while maintaining consistency, including the reliability and power of the system in challenging hackers with electronic attacks.…”

Section: Related Workmentioning

confidence: 99%

Modified Least Significant Bit Technique for Securing Medical Images

Ogundokun

Abikoye

Misra

et al. 2020

Lecture Notes in Business Information Processing

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The confidentiality and safety of patient records is a significant concern for medical professionals. So protections must be placed to guarantee that illegal individuals do not have access to medical images (Patient's description). Hence, the objective of this study is to secure digital medical images being transmitted over the internet from being accessed by an intruder. The study, therefore, proposed a modified Least Significant Bit (LSB) algorithm implemented on a MATLAB 2018a programming environment, and the proposed system was compared with the existing system using three performance metrics which are PSNR. MSE and SSIM. The result showed that the proposed approach outperformed the current standard methods by producing a more robust, high capacity, and highly imperceptible stego image. The comparative analysis conducted also showed that the PSNR valve is higher, and MSE value is lower when compared with existing systems. It was concluded that the projected technique accomplishes excellently in making the medical image transmitted to be more secured, robust, and invisible, thereby making the communication to be unnoticeable by an intruder or attacker.

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“…Different applications have different requirements of the steganography technique used. For example, some applications may require absolute invisibility of the secret information, while others require a larger secret message to be hidden [6].…”

Section: Introductionmentioning

confidence: 99%

Steganography Literature Survey, Classification and Comparative Study

El‐Sayed¹,

Attiya²,

Fkirin³

2016

CAE

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Transmitting confidential images between two channels suffer from hacking. Therefore, protecting confidentiality has become a very essential issue. Recently, several methods are developed to protect important information. The main idea is based on embedding important information in multimedia carrier such as: text, image, audio, and video. The developed methods may be classified as steganography and watermarking. Steganography aims to embed huge amount of secret data in multimedia carrier while watermarking aims to hid small amount of secret data in multimedia carrier. This paper first presents a literature survey of information hiding, then classifies the proposed methods, and finally introduces a comparative study between the different methods. General TermsAlgorithms, Steganography.

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A Survey on Various Approaches of Image Steganography

Cited by 7 publications

References 7 publications

Lung cancer detection using image processing and deep learning

Lung cancer detection using image processing and deep learning

Modified Least Significant Bit Technique for Securing Medical Images

Steganography Literature Survey, Classification and Comparative Study

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