Raffaele Pizzolante

ORCID: 0000-0001-5722-1179
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About
Contact & Profiles
Research Areas
  • Advanced Steganography and Watermarking Techniques
  • Advanced Data Compression Techniques
  • Chaos-based Image/Signal Encryption
  • Algorithms and Data Compression
  • Advanced Malware Detection Techniques
  • Digital Media Forensic Detection
  • Image Retrieval and Classification Techniques
  • Video Coding and Compression Technologies
  • Advanced Data Storage Technologies
  • Image and Signal Denoising Methods
  • Advanced Image and Video Retrieval Techniques
  • Digital Rights Management and Security
  • Digital and Cyber Forensics
  • Video Surveillance and Tracking Methods
  • Internet Traffic Analysis and Secure E-voting
  • Network Security and Intrusion Detection
  • Parallel Computing and Optimization Techniques
  • Spam and Phishing Detection
  • Opportunistic and Delay-Tolerant Networks
  • Blockchain Technology Applications and Security
  • Vehicular Ad Hoc Networks (VANETs)
  • Software Testing and Debugging Techniques
  • User Authentication and Security Systems
  • ICT in Developing Communities
  • Distributed and Parallel Computing Systems

University of Salerno
2015-2024

Today's life of e-citizens relies more and on the "always-on" paradigm. This transformed our lives in a way that it is difficult, sometimes impossible, to deal with day-by-day activities without being 'connected". The technology enable an individual take advantage, best way, Ubiquitous Computing paradigm Mobile Communication fostered by wide adoption smart devices such as mobile phone, smartphones, tablets so on. In this work we investigate possibility reliably sending small file via Short...

10.1109/imis.2013.121 article EN 2013-07-01

Air-borne and space-borne acquired hyperspectral images are used to recognize objects classify materials on the surface of earth. The state art compressor for lossless compression is Spectral oriented Least SQuares (SLSQ) (see [1–7]). In this paper we discuss image compression: show how visualize each band a visualization suggests that an appropriate ordering can lead improvements in process. particular, consider two important distance measures ordering: Pearson’s Correlation Bhattacharyya...

10.3390/a5010076 article EN cc-by Algorithms 2012-02-20

Nowadays microscopy confocal images are becoming more and a fundamental tool for many application fields, including biology, forensic analysis, medicine, industrial research, etc.. Therefore, as it is easy to note, given the contexts in which such have operate, their protection, or at least non alterability, very challenging problem fields. Although these problems deeply felt, state of art does not exist digital watermarking techniques types images. In this paper, we propose novel scheme...

10.1109/incos.2014.116 article EN 2014-09-01

The rapid diffusion of mobile devices (telephones, smart phones, tablets, etc.) has brought new advanced features developed specifically for these devices. For example it is now possible to publish directly the pictures obtained by integrated camera a phone our social network accounts, or image hosting services, etc. It therefore important have tools on that can prove ownership and use them before publishing images. A common approach guarantee digital images videos Digital Watermarking...

10.1109/imis.2012.73 article EN 2012-07-01

Functional Magnetic Resonance Imaging provides researchers with an effective and non-invasive tool to understand cerebral functions correlate them brain activities. With the ever increasing diffusion of Internet such images may be exchanged in several ways, thus allowing new research medical services. On other hand, ensuring security fMRI data becomes a main concern, due special characteristics arising from strict ethics, legislative diagnostic implications. So it is very important prevent...

10.1109/aina.2015.224 article EN 2015-03-01

Functional magnetic resonance imaging (fMRI) provides an effective and noninvasive tool for researchers to understand cerebral functions correlate them with brain activities. In addition, the ever-increasing diffusion of Internet, such images may be exchanged in several ways, allowing new research medical services. On other hand, ensuring security fMRI data becomes a main concern due their special characteristics arising from strict ethics legislative diagnostic implications. Again, risks...

10.1145/2893474 article EN ACM Transactions on Embedded Computing Systems 2017-01-10

Digital images play an important role in a wide range of medical applications. Several widespread technologies for digital imaging, such as Computed Tomography (CT), Magnetic Resonance (MR), etc., produce three-dimensional images. Data compression, is thus essential to reduce the volume images, permitting their efficient storing along with improvement relative transmission time through Internet or any other ad-hoc systems, like Picture Archiving and Communication System (PACS),...

10.1109/bwcca.2013.68 article EN 2013-10-01

3-D volumetric medical images, as for example magnetic resonance (MR) and computed tomography (CT) are an important source of digital data that need lossless compression to be stored or transmitted. In this paper we propose a low complexity, lossless, algorithm the images exploits three-dimensional nature by using linear prediction. Experimental results reported comparable, in average outperform, state-of-art results. Moreover present, its terms both CPU usage memory, is suitable easily used...

10.1109/icdsp.2013.6622763 article EN 2013-07-01

In this paper we review the Adaptive Vector Quantization algorithm for lossy image compression, introduced by Constantinescu and Storer. AVQ combines potentiality of a dictionary-based to process input in single-pass with approximate data. We discuss an open-source implementation report achieved results different size dictionary. Subsequently, consider problem copyright protection multimedia contents, focusing our attention on Digital Watermarking. addition describe approach that permits...

10.1109/incos.2011.153 article EN 2011-11-01

Hyperspectral images are widely used in several real-life applications. In this paper, we investigate on the compression of hyperspectral by considering different aspects, including optimization computational complexity order to allow implementations limited hardware (i.e., sensors, etc.). We present an approach that relies a three-dimensional predictive structure. Our structure, 3D-MBLP, uses one or more previous bands as references exploit redundancies among third dimension. The achieved...

10.3390/a9010016 article EN cc-by Algorithms 2016-02-18

Summary Conventional privacy‐enforcement mechanisms, such as encryption‐based ones, are frequently used to prevent third‐party eavesdroppers intercept confidential information exchanged between two or more parties. However, the use of mechanisms can be perceivable and it alerts involved intercepting entities that could devote some effort in trying remove protection, eg, by cracking encryption keys exploiting vulnerabilities technological solution protect data. Sometimes, from security point...

10.1002/cpe.5322 article EN Concurrency and Computation Practice and Experience 2019-05-09

Digital medical images are becoming even more widespread and used in a large variety of applications. Such often stored local repositories need to be transmitted/ received over the network. Therefore, data compression is an essential mechanism adopt for improving transmission time, as well optimize required storage space. However, due clinical relevance such data, lossless techniques almost ever preferred, given that context it not tolerated any loss data. In this work, starting from Medical...

10.1109/nbis.2014.107 article EN 2014-09-01

The ability of the DNA microarray images being used in several application domains, such as computer science, medical sciences, biololgy, toxicology, chemistry, ecology, environmental studies and statistics has enabled collaboration among scientists belonging to different research fields. For this reason, use/management may be sometimes controlled by ethical or proprietary rules. In paper, we address problem protection means visible watermarking techniques, where watermark serves a tag...

10.1109/3pgcic.2015.139 article EN 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) 2015-11-01

In this paper we review the Spectral oriented Least SQuares (SLSQ) algorithm : an efficient and low complexity for Hyper spectral Image loss less compression, presented in [2]. Subsequently, consider two important measures Pearson's Correlation Bhattacharyya distance describe a band ordering approach based on distances. Finally, report experimental results achieved with Java-based implementation of SLSQ data cubes acquired by NASA JPL's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS).

10.1109/ccp.2011.31 article EN 2011-06-01

DNA microarray images are an essential research tool in several fields, such as, forensic biology, single nucleotide polymorphism, functional analysis of genes, sequencing, diagnosis hereditary and infectious diseases, etc. Consequently, these can be exchanged between different entities with roles belonging to application domains. It is easy note that for the reasons described above, protection images, mainly terms authenticity integrity a main concern, especially so called multi-domain...

10.1109/3pgcic.2015.138 article EN 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) 2015-11-01

In this work, we present a scheme for the lossy compression of image sequences, based on Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is grayscale images, which processes input data in single-pass, by using properties vector quantization to approximate data. First, review key aspects and, subsequently, outline basic concepts and design choices behind proposed scheme. Finally, report experimental results, highlight an improvement performances when our compared with

10.3390/a10020051 article EN cc-by Algorithms 2017-05-09
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