Haar Wavelet Image Compression Algorithm (HW-JPEG2000)

被引：0

作者：

Kishk, Amr M. ^{[1
]}

Messiha, Nagy W. ^{[2
]}

El-Fishawy, Nawal A. ^{[2
]}

Alkafs, Abdelrahman A. ^{[1
]}

Madian, Ahmed H. ^{[1
]}

机构：

[1] Egyptian Atom Energy Author, Cairo, Egypt

[2] Menoufia Univ, FEE, Menoufia, Egypt

来源：

2015 32ND NATIONAL RADIO SCIENCE CONFERENCE (NRSC) | 2015年

关键词：

JPEG2000; Fast Zonal OCT; 20; DWT-Zonal; AMBT; Energy consumption; Image quality;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

One of the popular image compression algorithms is Joint Photographic Experts Group 2000 (JPEG2000). It is based on Discrete Wavelet Transform (DWT). The enhancements in JPEG2000 guide us to Haar Wavelet Image Compression Algorithm (HW-JPEG2000) in this paper. HW-JPEG2000 enhances the use of DWT multi stages in JPEG2000. Although, the use of DWT multi stages in JPEG2000 reduces the image quality and increases the energy consumption in Wireless Sensor Network (WSN), it enhances the image quality and reduces the energy consumption in HW-JPEG2000. The traditional image compression algorithms with their popular enhancements are: JPEG, JPEG2000, 2D DWT-Zonal, Block Truncation Coding (BTC), and another enhancements for BTC. The comparison with the traditional algorithms is based on some important metrics in this area such as: Peak Signal to Noise Ratio and energy consumption. HW-JPEG2000 enhances the image quality and reduces the energy consumption in comparison with the distributed compression algorithms in WSN.

引用

页码：179 / 188

页数：10

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