scholarly journals Image Compression and Fusion based Technology using Wavelet Transform

2015 ◽  
Vol 8 (32) ◽  
Author(s):  
K. Jeyakumar
Keyword(s):  
Wavelet Transform ◽  
Image Compression

Enhanced Three-Dimensional Color Conversion Based on Discrete Wavelet Transform

2012 ◽  
Vol 155-156 ◽  
pp. 440-444
Author(s):  
He Yan ◽  
Xiu Feng Wang
Keyword(s):  
Information Technology ◽  
Wavelet Transform ◽  
Image Reconstruction ◽  
Image Quality ◽  
Image Compression ◽  
High Performance ◽  
Three Dimensional ◽  
Discrete Wavelet ◽  
Compression Algorithms ◽  
Color Conversion

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.

scholarly journals Compression of medical images by quaternionic wavelet transform

2021 ◽  
Vol 10 (2) ◽  
pp. 89
Author(s):  
Bertrand Ledoux Ebassa Eloundou ◽  
Aimé Joseph Oyobe Okassa ◽  
Hervé Ndongo Abena ◽  
Pierre ELE
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Medical Images ◽  
Visual Observation ◽  
Medical Field ◽  
Important Data ◽  
Quaternion Wavelet Transform ◽  
Compression Parameter ◽  
Technological Developments ◽  
Parameter Values

Technological developments for several years have resulted in the handling (storing, exchanging or processing) of increasingly important data in various fields and particularly in medical field. In this works we present a new image compression / decompression algorithm based on the quaternion wavelet transform (QWT). This algorithm is simple, fast and efficient. It has been applied to medical images. The results obtained after decompression are appreciated through the compression parameter values of CR, PSNR, and MSE and by visual observation. By the values of these parameters, the results of the algorithm are considered encouraging.  

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