A Comparative Study of Image Compression Algorithms

2012 ◽  
Vol 2 (5) ◽  
pp. 37-42 ◽  
Author(s):  
Kiran Bindu ◽  
Anita Ganpati ◽  
Aman Kumar Sharma
2011 ◽  
Vol 1 (4) ◽  
pp. 1-8
Author(s):  
G. Chenchu Krishnaiah ◽  
T. Jayachandraprasad ◽  
M.N. Giri Prasad

2018 ◽  
Vol 5 (4) ◽  
pp. 34
Author(s):  
R. PANDIAN ◽  
KUMARI S. LALITHA ◽  
KUMAR R. RAJA ◽  
RAVIKUMAR D. N. S. ◽  
◽  
...  

2016 ◽  
Vol 3 (3) ◽  
pp. 1
Author(s):  
KIRAN RAVI ◽  
KAMARGAONKAR CHANDRASHEKHAR ◽  
SHARMA MONISHA ◽  
◽  
◽  
...  

2012 ◽  
Vol 155-156 ◽  
pp. 440-444
Author(s):  
He Yan ◽  
Xiu Feng Wang

JPEG2000 algorithm has been developed based on the DWT techniques, which have shown how the results achieved in different areas in information technology can be applied to enhance the performance. Lossy image compression algorithms sacrifice perfect image reconstruction in favor of decreased storage requirements. Wavelets have become a popular technology for information redistribution for high-performance image compression algorithms. Lossy compression algorithms sacrifice perfect image reconstruction in favor of improved compression rates while minimizing image quality lossy.


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