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Related Experiment Video

Updated: Jul 7, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Adaptive entropy coded subband coding of images.

Y H Kim¹, J W Modestino

¹Rensselaer Polytech. Inst., Troy, NY.

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

|January 1, 1992

Summary

This study introduces 2-D entropy-constrained subband coding (ECSBC) for efficient data compression. An adaptive version (ECSBC/AEC) effectively manages fixed-rate channels, minimizing buffer issues while maintaining high performance.

Related Experiment Videos

Last Updated: Jul 7, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

Digital Signal Processing
Image Compression
Information Theory

Background:

Entropy-constrained vector quantization (ECVQ) schemes have advanced data compression.
Subband coding (SBC) is a technique for efficient signal representation.
Variable-rate data compression is crucial for diverse communication channels.

Purpose of the Study:

To present a novel 2-D entropy-constrained subband coding (ECSBC) design approach.
To evaluate the performance of different 2-D ECSBC configurations.
To introduce an adaptive ECSBC (ECSBC/AEC) for fixed-rate channels.

Main Methods:

Development of the 2-D ECSBC framework based on ECVQ.
Compression of quantizer outputs using noiseless entropy coding (Huffman, arithmetic codes).
Implementation and evaluation of three representative 2-D ECSBC schemes.
Design of an adaptive buffer instrumented version (2-D ECSBC/AEC).

Main Results:

The 2-D ECSBC framework allows derivation of various SBC schemes.
Performance evaluations show the effectiveness of representative 2-D ECSBC types.
The 2-D ECSBC/AEC scheme successfully eliminates buffer overflow/underflow issues.
ECSBC/AEC achieves performance comparable to ideal 2-D ECSBC systems.

Conclusions:

The 2-D ECSBC approach offers a flexible and powerful framework for image and signal compression.
The adaptive ECSBC/AEC provides a robust solution for fixed-rate transmission, maintaining high compression efficiency.
This work contributes to the advancement of efficient and adaptive data compression techniques.