Application research of digital media image processing technology based on wavelet transform

被引：0
作者：
Lina Zhang
Lijuan Zhang
Liduo Zhang
机构：
[1] Zaozhuang University,School of Media
[2] Zaozhuang University,School of Fine Arts and Design
[3] Zaozhuang University,School of Economics and Management
来源：
EURASIP Journal on Image and Video Processing | / 2018卷
关键词：
Image processing; Digital watermark; Image denoising; Image encryption; Image compression;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
With the development of information technology, people access information more and more rely on the network, and more than 80% of the information in the network is replaced by multimedia technology represented by images. Therefore, the research on image processing technology is very important, but most of the research on image processing technology is focused on a certain aspect. The research results of unified modeling on various aspects of image processing technology are still rare. To this end, this paper uses image denoising, watermarking, encryption and decryption, and image compression in the process of image processing technology to carry out unified modeling, using wavelet transform as a method to simulate 300 photos from life. The results show that unified modeling has achieved good results in all aspects of image processing.
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[1]  
Hou JH(2007)Analysis of the errors in locally adaptive wavelet domain wiener filter and image Denoising[J] Acta Photonica Sinica 36 188-191
[2]  
Tian JW(2012)An analysis and implementation of the BM3D image Denoising method[J] Image Processing on Line 2 175-213
[3]  
Liu J(2012)Efficient image Denoising method based on a new adaptive wavelet packet thresholding function[J]. IEEE transactions on image processing a publication of the IEEE signal processing Society 21 3981-944
[4]  
Lebrun M(2013)Gradient-based wiener filter for image denoising [J] Comput. Electr. Eng. 39 934-1012
[5]  
Fathi A(1999)Tri-state median filter for image denoising.[J] IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society 8 1834-2178
[6]  
Naghsh-Nilchi AR(2003)Wavelet-domain iterative center weighted median filter for image denoising[J] Signal Process. 83 1001-303
[7]  
Zhang X(2000)Noise adaptive soft-switching median filter for image denoising[C]// IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000. ICASSP '00 Proceedings. IEEE 4 2175-1161
[8]  
Feng X(2000)Adaptive wavelet thresholding for image denoising and compression[J]. IEEE transactions on image processing a publication of the IEEE signal processing Society 9 1532-2132
[9]  
Wang W(1999)Low-complexity image Denoising based on statistical modeling of wavelet Coecients[J] IEEE Signal Processing Letters 6 300-132
[10]  
Chen T(2004)Image authentication based on digital watermarking[J] Chinese Journal of Computers 9 1153-765
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