We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Achieving a reversible lower dimensionality transformation for picture archiving and communication system in healthcare.
- Authors
Banday, Shoaib Amin; Pandit, Mohammad Khalid; Khan, Ab Rouf
- Abstract
With the progression of picture archiving and communication systems (PACSs) over the past decade, it has become imperative that such systems be optimised in security, storage, and transmission aspects. The work presented in this Letter shows a framework for medical image compression and secure image transmission for PACSs. The work aims to achieve a lower dimensionality of input medical image signified by a high-compression ratio, a secure image transmission that can withstand adversarial attacks and provide a reversible reconstruction with minimal error. The authors illustrate that sinusoid modulated Gaussian texture maps, multi-level chaotic maps, and high-frequency image maps can be efficiently fused and utilised in a deep learning architecture. The overall analysis depicts promising results with regard to the capability of image compression, security, and transmission. The proposed framework will be a potential candidate for use in PACSs, which effectively is the backbone of the current healthcare paradigm.
- Subjects
PICTURE archiving &; communication systems; IMAGE encryption; IMAGE compression; IMAGE transmission; TEXTURE mapping
- Publication
Electronics Letters (Wiley-Blackwell), 2020, Vol 56, Issue 17, p863
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2020.0992