Improved successive refinement for wavelet-based embedded image compression

1999 ◽  
Author(s):  
Charles D. Creusere
Keyword(s):  
Image Compression ◽  
Successive Refinement ◽  
Embedded Image

Lossless and near-lossless image compression with successive refinement

2000 ◽  
Author(s):  
Ismail Avcibas ◽  
Nasir D. Memon ◽  
Bulent Sankur ◽  
Khalid Sayood
Keyword(s):  
Image Compression ◽  
Lossless Image Compression ◽  
Successive Refinement

Embedded Image Compression Algorithm and FPGA Implementation Based on BP Neural Networks

2011 ◽  
Vol 65 ◽  
pp. 415-418
Author(s):  
Guang Ming Li ◽  
Zhen Qi He
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Image Compression ◽  
Compression Ratio ◽  
Bp Neural Network ◽  
Stable Operation ◽  
High Compression Ratio ◽  
The Neural Network ◽  
Embedded Image ◽  
Image Compression Algorithm

At present, because more embedded image compressions are single, various compression methods have not transplant to embedded equipment. In this paper, A BP neural network based image compression methods have been proposed. The neural network is trained more and more, and obtained a set of weights and thresholds usefully. Then, use the FPGA to achieve, In the FPGA, using the framework of soft-core Nios Ⅱ way. Ultimately, compression program written using Verilog and burned into the FPGA. Experiments show that the system has the advantages of high compression ratio, small size, and can stable operation.

Context-based embedded image compression using binary wavelet transform

2010 ◽  
Vol 28 (6) ◽  
pp. 991-1002 ◽  
Author(s):  
Hong Pan ◽  
Li-Zuo Jin ◽  
Xiao-Hui Yuan ◽  
Si-Yu Xia ◽  
Liang-Zheng Xia
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Embedded Image
Sign in / Sign up

Export Citation Format

Share Document