Theoretical Improvement of the Image Compression Method Based on Wavelet Transform

被引：2

作者：

Rahali, Mourad ^{[1
,2
]}

Loukil, Habiba ^{[1
]}

Bouhlel, Mohamed Salim ^{[1
]}

机构：

[1] Univ Sfax, High Inst Biotechnol, Sci & Technol Image & Telecommun, Sfax, Tunisia

[2] Univ Gabes, Natl Engn Sch Gabes, Gabes, Tunisia

来源：

2016 13TH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION (CGIV) | 2016年

关键词：

Compression ratio; moments null; neural network; wavelet transform;

D O I：

10.1109/CGiV.2016.60

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Image compression was performed by several techniques for example: JPEG and JPEG2000 are lossy compression methods. These methods performing scalar quantization on the values obtained after transformation. The disadvantage of the scalar quantization is it does not allow exploiting the spatial correlation between pixels in the image. To improve the compression, we quantified together of values simultaneously it is definition of the vector quantization. In this paper, we studied and modeled an approach to images compression by wavelet transform and Kohonen network. We show the role of null moments in wavelet for improve the compression and we calculate the compression ratio based on compression parameters.

引用

页码：273 / 277

页数：5

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