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A wavelet-VQ system for real-time video compression

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Abstract

This paper presents a scheme and its Field Programmable Gate Array (FPGA) implementation for a system based on combining the bi-dimensional discrete wavelet transformation (2D-DWT) and vector quantization (VQ) for image compression. The 2D-DWT works in a non-separable fashion using a parallel filter structure with distributed control to compute two resolution levels. The wavelet coefficients of the higher frequency sub-bands are vector quantized using multi-resolution codebook and those of the lower frequency sub-band at level two are scalar quantized and entropy encoded. VQ is carried out by self organizing feature map (SOFM) neural nets working at the recall phase. Codebooks are quickly generated off-line using the same nets functioning at the training phase. The complete system, including the 2D-DWT, the multi-resolution codebook VQ, and the statistical encoder, was implemented on a Xilinx Virtex 4 FPGA and is capable of performing real-time compression for digital video when dealing with grayscale 512 × 512 pixels images. It offers high compression quality (PSNR values around 35 dB) and acceptable compression rate values (0.62 bpp).

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Authors and Affiliations

  1. Department of Electronic Engineering, Instituto Tecnológico de Celaya, Av. Tecnologico s/n, 38010, Celaya, Gto., Mexico

    Agustin Ramirez-Agundis & Javier Diaz-Carmona

  2. Department of Electronic Engineering, Universidad Politecnica de Valencia, Camino de Vera s/n, 46020, Valencia, Spain

    Rafael Gadea-Girones & Ricardo Colom-Palero

Authors
  1. Agustin Ramirez-Agundis
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  2. Rafael Gadea-Girones
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  3. Ricardo Colom-Palero
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  4. Javier Diaz-Carmona
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Correspondence to Agustin Ramirez-Agundis.

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Ramirez-Agundis, A., Gadea-Girones, R., Colom-Palero, R. et al. A wavelet-VQ system for real-time video compression. J Real-Time Image Proc 2, 271–280 (2007). https://doi.org/10.1007/s11554-007-0064-7

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  • DOI: https://doi.org/10.1007/s11554-007-0064-7

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