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Lossy Image Compression Using Multiwavelet Transform for Wireless Transmission
- 作者：K. Rajakumar ; T. Arivoli
- 关键词：Image compression ; Run length coding ; Bit plane coding ; Image transform
- 刊名：Wireless Personal Communications
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：87
- 期：2
- 页码：315-333
- 全文大小：1,591 KB
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- 作者单位：K. Rajakumar (1)
T. Arivoli (2)
1. Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, 626 126, TamilNadu, India
2. Department of Electronics and Communication Engineering, Vickram College of Engineering, Enathi, 630561, TamilNadu, India
- 刊物类别：Engineering
- 刊物主题：Electronic and Computer Engineering
Signal,Image and Speech Processing
Processor Architectures
- 出版者：Springer Netherlands
- ISSN：1572-834X
文摘
The performance of the wavelets within the field of image process is standard. Multiwavelets is the next step in riffle theory and it takes the performance of wavelets to the next level. In this work the performance of the Integer Multiwavelet transform (IMWT) for lossy compression has been studied. The Proposed IMWT shows sensible performance in lossy reconstruction of the images than that of Existing lossy reconstruction. This work utilizes the performance of the Proposed IMWT for lossy compression of images with encoding techniques like Magnitude set coding and Run Length Encoding. The transform coefficients are unit coded by means of Magnitude set coding and run length coding techniques which in turn results with low bits. The transform coefficient matrix is coded on not taking under consideration of the sign values using the Magnitude Set—Variable Length Integer illustration. The sign data of the coefficients is coded as bit plane with zero thresholds. This Bit plane may be used as it is or coded to scale back the bits per pixels. The Simulation was exhausted using Matlab.
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