一种新的基于自组织映射的图像编码方案

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI:10.1109/BICTA.2010.5645202

Hongsong Li, Da Li

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引用次数: 1

摘要

提出了一种基于改进自组织神经网络FSOM-VQ-DWT的图像编码方案。首先对原始图像进行矢量量化(VQ)预测，然后对预测误差图像进行标准JPEG2000编码。为了提高VQ码本的性能，提出了一种新的频率敏感自组织特征映射(FSOM)算法。实验结果表明，所提出的FSOM-VQ-DWT编码方案比标准JPEG 2000具有更好的编码性能。

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A new image coding scheme based upon self organizing maps

This paper presents a image coding scheme based upon improved self-organizing neural network, FSOM-VQ-DWT. Firstly original image is predicted by vector quantization (VQ), then the predicted error image is encoded by standard JPEG2000. To improve the performance of VQ codebook, we have proposed a new frequency sensitive self-organizing feature maps (FSOM) algorithm. Experimental results show that the proposed FSOM-VQ-DWT coding scheme can get better coding performance than standard JPEG 2000.

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2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

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