An Image Compression Coding Algorithm Based on Self-Organizing Neural Network

黎洪松; 全子一

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An Image Compression Coding Algorithm Based on Self-Organizing Neural Network

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- An Image Compression Coding Algorithm Based on Self-Organizing Neural Network
- Acta Electronica Sinica Issue 1, (1996)
- 作者机构：
  
  北京邮电大学无线电工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.8
- Published：1996
- 稿件说明：
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[1]黎洪松,全子一.一种基于自组织神经网络的图像压缩编码算法[J].电子学报,1996(01):6-11.

黎洪松, 全子一. An Image Compression Coding Algorithm Based on Self-Organizing Neural Network[J]. Acta Electronica Sinica, 1996, (1).
[1]黎洪松,全子一.一种基于自组织神经网络的图像压缩编码算法[J].电子学报,1996(01):6-11. DOI：

黎洪松, 全子一. An Image Compression Coding Algorithm Based on Self-Organizing Neural Network[J]. Acta Electronica Sinica, 1996, (1). DOI：

摘要

本文提出了一种基于自组织特征映射神经网络的图像压缩编码算法，即ＶＱ＋ＤＰＣＭ＋ＤＣＴ算法，实验表明，在压缩比为３１．８∶１时，其峰峰信噪比为３５．８２ｄＢ（Ｌｅｎｎａ亮度图像），且主观效果良好，这是至今为止使用矢量量化（ＶＱ）方法压缩图像所获得的最好结果。

Abstract

In this paper

a new image compression coding algorithm based on Self-Organizing neural network

VQ+DPCM+DCT algorithm

is proposed.Experiment results show that the compression ratio is 31.8∶1

the PSNR is 35. 82dB（Lenna luminance image）

and subjective image quality is very good.

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