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Related Experiment Video

Updated: Jul 7, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

An edge preserving differential image coding scheme.

M C Rost¹, K Sayood

¹Sandia Nat. Lab., Albuquerque, NM.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 1, 1992

Summary

This summary is machine-generated.

Differential encoding for images causes edge degradation. A new, simple differential image coding system preserves edges well, making it useful for medical and scientific imaging over variable rate networks.

Related Experiment Videos

Last Updated: Jul 7, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Area of Science:

Image processing
Data compression

Background:

Differential encoding is fast but causes edge degradation.
Edge preservation is critical for medical and scientific images.
Existing methods have limitations in maintaining image quality.

Purpose of the Study:

To present a novel differential image coding system.
To address the issue of edge degradation in differential encoding.
To develop a system with excellent edge preservation properties.

Main Methods:

A simple, easy-to-implement differential image coding system was developed.
The system focuses on minimizing edge degradation during encoding.
The coding system is designed for variable rate channels.

Main Results:

The proposed system demonstrates excellent edge preservation.
The differential encoding method effectively mitigates edge degradation.
The system is suitable for applications requiring high image fidelity.

Conclusions:

The new differential image coding system offers a viable solution for edge preservation.
This technique enhances the utility of differential encoding for critical image applications.
The system's adaptability to variable rate channels is advantageous for network environments.