Applying wavelet-transform on Internet-based radiologic brain images

¹Department of Neurology, College of Medicine, University of Illinois, Chicago 60612, USA. csjao@uic.edu

Computer Methods and Programs in Biomedicine

|March 27, 1999

Abstract:

Wavelet-transform compression creates high-quality images of small file size by tuning its compression ratio between 10:1 and 80:1. We applied the wavelet-based compression technique to radiologic brain images on the Internet for image display purposes. Wavelet transform compression reduces file size up to 50%. Wavelet transform compression offers the advantage of retaining complete color information in digital images and faster Internet transmission than traditional Joint Photography Experts Group (JPEG) files of equivalent file size. The application of wavelet-based compression technique decreases storage requirements for images on Internet servers.

Related Concept Videos

Articles linked to this work by shared authors, journal, and citation graph.

3D track extraction from a fluorescent nuclear track detector via machine learning and an application to diagnostics of laser-driven ions.

The Review of scientific instruments·2024

Related Experiment Videos

Applying wavelet-transform on Internet-based radiologic brain images

Related Concept Videos

3D track extraction from a fluorescent nuclear track detector via machine learning and an application to diagnostics of laser-driven ions.

Factors predicting 30-day mortality in the Warsaw stroke registry.

Analysis of 30-day stroke mortality in a community-based registry in Warsaw, Poland.

Influence of site on course of intracerebral hemorrhage.

High case-fatality rates in the Warsaw stroke registry.

Heart disease contributes to high stroke mortality in Poland.

Impact of CT image resolution and material modeling on biomechanical predictions at the bone-implant interface.

Libra framework: Low spectral resolution brain tumor classifier for medical hyperspectral imaging.

Activity contextualisation and terrain classification via wearables in Parkinson's.

Beyond 2D slices: TD-Mamba for 3D CT segmentation of head and neck space-occupying lesions.

A clinical decision support system for ECG diagnosis: Surpassing commercial standards through dual-stream feature fusion.

Disentangled conditional generation of ECG signals with interpretable latent factors.

Using the "Hearing Stages" tool to optimise hearing management options.

LiftHolo: lifted amplitude-guided deep learning for accelerated high-quality computer-generated holography.

Task-guided line-of-sight power-ratio calibration for bias-limited visible light positioning.

Contrastive Decoupling and Enhancement of Multi-view EEG Features for Imagined Speech Decoding.

Depth-based visual capture of sound in virtual reality is driven by perceived distance.

Intracranial Electrical Stimulation of the Superior Temporal Gyrus Evokes Rapid Responses in Human Visual Cortex.

Related Experiment Videos

Applying wavelet-transform on Internet-based radiologic brain images

Abstract:

Related Concept Videos

Related Articles