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Related Experiment Video

Updated: Jul 7, 2026

Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine

Image Recognition and Parameter Analysis of Concrete Vibration State Based on Support Vector Machine

Published on: January 5, 2024

Differential block coding of bilevel images.

G R Robertson¹, M F Aburdene, R J Kozick

¹Harris RF Commun., Rochester, NY.

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

|January 1, 1996

Summary

This summary is machine-generated.

A novel differencing operation on bilevel images creates sparse binary images for efficient encoding. This method enhances compression for images with average run lengths greater than two, reducing pixel correlation.

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Area of Science:

Image processing
Data compression
Computer vision

Background:

Bilevel images are common in document imaging and graphics.
Existing block coding methods can be inefficient for certain bilevel image characteristics.
Reducing data redundancy is key to efficient image compression.

Purpose of the Study:

To introduce a simple 1-D differencing operation for bilevel images.
To enhance the efficiency of block coding for bilevel images.
To demonstrate improved compression performance through reduced pixel correlation.

Main Methods:

A one-dimensional (1-D) differencing operation is applied to bilevel images.
The resulting sparse binary image is then processed using block coding techniques.
Encoding and decoding operations for the differenced image are detailed.

Main Results:

The differencing operation produces a sparse binary image.
Compression efficiency improves when the average run length of black pixels exceeds two.
Reduced correlation between adjacent pixels in the difference image leads to better compression.

Conclusions:

The proposed differencing operation is an effective preprocessing step for bilevel image compression.
This technique offers significant compression gains for specific types of bilevel images.
The method is compatible with existing block coding techniques.