Three-dimensional microscopic image coding by finite-state vector quantization in an enhanced image pyramid

Yegang Tao; W. Paul Cockshott

doi:10.1117/12.533754

12 May 2004 Three-dimensional microscopic image coding by finite-state vector quantization in an enhanced image pyramid

Yegang Tao, W. Paul Cockshott

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.533754
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

A novel approach, based on a 3D differential image pyramid structure with vector quantization error feedback, is proposed for microscopic volume image data compression. We have improved the coding performance relative to previous work. A finite-state vector quantizer (FSVQ) is introduced to exploit the correlation between neighbouring vectors to improve the coding efficiency. The effects of FSVQ in conjunction with thresholding are investigated. A distortion minimization algorithm selects both the set of thresholds and size of state codebook. Experiments have been performed on data sets obtained by confocal laser scanning microscopy (CLSM) scans of human arteries. Results demonstrate that our new coding technique substantially improves the subjective and objective quality of the decompressed images over MPEG-1 with more than 5dB gain. Compared to the state-of-the-art 3D volume coder 3D-SPIHT, our method also offers better coding performance with roughly 0.1 dB higher at high rate and more than 0.6 dB higher at very low bit rate.

Citation Download Citation

Yegang Tao and W. Paul Cockshott "Three-dimensional microscopic image coding by finite-state vector quantization in an enhanced image pyramid", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.533754

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