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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

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Published on: September 5, 2019

Finite-state vector quantization by exploiting interband and intraband correlations for subband image coding.

R F Chang¹, Y L Huang

¹Dept. of Comput. Sci. and Inf. Eng., Nat. Chung Cheng Univ., Chiayi.

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

|January 1, 1996

Summary

This summary is machine-generated.

New subband coding with finite state vector quantization (SBC-FSVQ) improves image quality and reduces bit rates for low-bitrate image compression. This advanced technique achieves superior peak signal-to-noise ratio (PSNR) performance compared to existing methods.

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Area of Science:

Digital image processing
Signal processing
Data compression techniques

Background:

Subband coding (SBC) combined with vector quantization (VQ) is effective for low-bitrate image coding.
Exploiting interband and intraband correlations is key to efficient image compression.

Purpose of the Study:

To develop novel SBC-FSVQ schemes that enhance image quality and reduce bit rates.
To leverage finite state vector quantization (FSVQ) for improved performance in subband image coding.

Main Methods:

Image spectrum splitting into seven nonuniform subbands.
Application of Threshold Vector Quantization (TVQ) and Finite State Vector Quantization (FSVQ).
Exploitation of both interband and intraband correlations for coding efficiency.

Main Results:

The proposed SBC-FSVQ schemes offer advantages over traditional SBC-VQ methods.
Achieved significant reductions in bit rates while simultaneously improving image quality.
Demonstrated superior peak signal-to-noise ratio (PSNR) performance compared to other coding techniques at identical bit rates.

Conclusions:

SBC-FSVQ is a highly effective method for low-bitrate image compression.
The new schemes provide a better trade-off between bit rate and image quality.
The findings suggest SBC-FSVQ as a leading technique for efficient image coding applications.