A fast fractal based compression for MRI images

S Liu, W Bai, N Zeng, S Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Magnetic resonance imaging (MRI), which assists doctors in determining clinical staging
and expected surgical range, has high medical value. A large number of MRI images require …

Versatile approaches for medical image compression: A review

P Kumar, A Parmar - Procedia Computer Science, 2020 - Elsevier
In this world of evolution, the utilization of the medical technology and huge data generation
by the different medical modalities, the storage, transmission and handling of the digital data …

Image-Compression Techniques: Classical and “Region-of-Interest-Based” Approaches Presented in Recent Papers

VI Ungureanu, P Negirla, A Korodi - Sensors, 2024 - mdpi.com
Image compression is a vital component for domains in which the computational resources
are usually scarce such as automotive or telemedicine fields. Also, when discussing real …

An evolutionary lion optimization algorithm‐based image compression technique for biomedical applications

K Geetha, V Anitha, M Elhoseny, S Kathiresan… - Expert …, 2021 - Wiley Online Library
Recently, medical image compression becomes essential to effectively handle large
amounts of medical data for storage and communication purposes. Vector quantization (VQ) …

[HTML][HTML] Fast vector quantization using a Bat algorithm for image compression

C Karri, U Jena - Engineering Science and Technology, an International …, 2016 - Elsevier
Abstract Linde–Buzo–Gray (LBG), a traditional method of vector quantization (VQ) generates
a local optimal codebook which results in lower PSNR value. The performance of vector …

Adaptive radiographic image compression technique using hierarchical vector quantization and Huffman encoding

H Kasban, S Hashima - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
The objective of this paper is to provide a proposed method for radiographic image
compression with maximum Compression Ratio (CR) as possible and keeping all details …

Lossy image compression based on prediction error and vector quantisation

MUA Ayoobkhan, E Chikkannan… - EURASIP Journal on …, 2017 - Springer
Lossy image compression has been gaining importance in recent years due to the
enormous increase in the volume of image data employed for Internet and other …

Near lossless medical image compression using block BWT–MTF and hybrid fractal compression techniques

CP Devadoss, B Sankaragomathi - Cluster Computing, 2019 - Springer
In this paper, a medical image compression model for efficient transmission of medical
images using block BWT–MTF with Huffman encoding and hybrid fractal encoding is …

A novel medical image compression using Ripplet transform

S Juliet, EB Rajsingh, K Ezra - Journal of Real-Time Image Processing, 2016 - Springer
In spite of great advancements in multimedia data storage and communication technologies,
compression of medical data remains challenging. This paper presents a novel compression …

[HTML][HTML] Documenting and predicting topic changes in Computers in Biology and Medicine: A bibliometric keyword analysis from 1990 to 2017

O Faust - Informatics in Medicine Unlocked, 2018 - Elsevier
Abstract The Computers in Biology and Medicine (CBM) journal promotes the use of
computing machinery in the fields of bioscience and medicine. Since the first volume in …