Comparative Analysis of Compression Techniques and Feature Extraction for Implementing Medical Image Privacy Using Searchable Encryption

Abstract-The main objective of medical image compression is to attain the best possible fidelity for an available communication and storage [6], in order to preserve the information contained in the image and does not have an error when they are processing it. In this work, we propose a medical image compression algorithm based on Artificial Neural Network (ANN). It is a simple algorithm which preserves all the image data. Experimental results performed at 8 bits/pixels and 12bits/pixels medical images show the performances and the efficiency of the proposed method. To determine the 'acceptability' of image compression we have used different criteria such as maximum absolute error (MAE), universal image quality (UIQ), correlation and peak signal to noise ratio (PSNR).

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“…In fact, our result is better than the result in 13 and 14 for CR value. and as seen as the obtained image in [17] (Fig. 8.…”

Section: Comparison Between Other Compression Methodsmentioning

confidence: 54%

An Enhencment Medical Image Compression Algorithm Based on Neural Network

Dridi¹,

Hajjaji²,

Bouallègue³

et al. 2016

ijacsa

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“…The Local Sensitive Hash (LSH) algorithm was used to improve the retrieval efficiency. Hyma et al [23] resented a set of secure image retrieval schemes for biometric images. This scheme mainly compresses the image texture features and uses wavelet transform and Contourlet transform to maximize the Peak Signal-to-Noise Ratio(PSNR) of the image to reduce communication overhead.…”

Section: Introductionmentioning

confidence: 99%

A Secure Searchable Image Retrieval Scheme with Correct Retrieval Identity

Wang

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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As the image retrieval scheme continues to mature, many areas such as industrial and business have begun to apply more user-friendly techniques, namely image retrieval, instead of the text data retrieval technology. However, in some applications, the phenomenon of insufficient privacy protection for user images has been exposed. Aiming at the issue of user privacy, we proposed a Secure searchable image retrieval scheme with correct retrieval identity. We use the elliptic curve cryptography to realize the identification of entity identities in our scheme. Pre-filter tables can be constructed by local sensitive hash functions to build to optimize retrieval efficiency. The results of our experiments show that the statistical information of image data can be well protected and the entity identities in the system can be correctly identified. Due to the introduction of the prefiltering table, the efficiency of image retrieval is higher than that of linear retrieval.

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“…The traditional access control like ,DAC(discretionary Access control),MAC(Mandatory Access Control),RBAC(Role based access control) and ABAC(Attribute Based Access Control )are not enough for the high security so that various Attribute based Encryption Scheme are proposed. [3] The data must be encrypted before uploading to the cloud by using some cryptographic algorithms [13]. Attribute Based Encryption (ABE) model was proposed by Sahai and Waters [7] in 2005.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Hierarchical Attribute Set Based Encryption (HASBE) Access Control Model for Cloud Computing

Kamliya¹,

Aluvalu²

2015

JTI

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Cloud computing refers to the application and service that run on a distributed system using virtualized resources and access by common internet protocol and networking standard. Cloud computing virtualizes system by pooling and sharing resources. System and resources can be monitored from central infrastructure as needed. It requires high security because of now a days companies going to put more essential and huge amount of data on cloud. That's why the reason traditional access control is not enough For the High security .so that the attribute-based encryption (ABE) have been proposed for access control of outsourced data in cloud computing with the complex access control policy.in this paper, we have proposed hierarchical attribute-set-based encryption (HASBE) access control by extending cipher-text policy and attribute-set-based encryption (ASBE) with a hierarchical structure of users. HASBE provides Flexibility, scalability and fine-grained access control with efficient user revocation but the hierarchical structure of the domain hierarchy is to complex and there is no sub-domain level user hierarchy which increases system response time and decreases the system performance. So we are proposing HASBE scheme by creating a sub domain in to the user level Hierarchy that reduce the complexity of the hierarchy and also improve the system performance.

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Comparative Analysis of Compression Techniques and Feature Extraction for Implementing Medical Image Privacy Using Searchable Encryption

Cited by 4 publications

References 12 publications

An Enhencment Medical Image Compression Algorithm Based on Neural Network

An Enhencment Medical Image Compression Algorithm Based on Neural Network

A Secure Searchable Image Retrieval Scheme with Correct Retrieval Identity

A Survey on Hierarchical Attribute Set Based Encryption (HASBE) Access Control Model for Cloud Computing

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