Constrained ECG compression algorithm using the block-based discrete cosine transform

2008 ◽  
Vol 18 (1) ◽  
pp. 56-64 ◽  
Author(s):  
R. Benzid ◽  
A. Messaoudi ◽  
A. Boussaad
Keyword(s):  
Discrete Cosine Transform ◽  
Compression Algorithm ◽  
Cosine Transform ◽  
Ecg Compression ◽  
Block Based

Improved ECG compression method using discrete cosine transform

2011 ◽  
Vol 47 (2) ◽  
pp. 87 ◽  
Author(s):  
A. Bendifallah ◽  
R. Benzid ◽  
M. Boulemden
Keyword(s):  
Discrete Cosine Transform ◽  
Compression Method ◽  
Cosine Transform ◽  
Ecg Compression

scholarly journals Estimating Previous Quantization Factors on Multiple JPEG Compressed Images

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Sebastiano Battiato ◽  
Oliver Giudice ◽  
Francesco Guarnera ◽  
Giovanni Puglisi
Keyword(s):  
Image Quality ◽  
Discrete Cosine Transform ◽  
Jpeg Compression ◽  
Compression Algorithm ◽  
Experimental Results ◽  
The Other ◽  
Cosine Transform ◽  
Novel Technique ◽  
Compressed Images ◽  
Acquisition Device

AbstractThe JPEG compression algorithm has proven to be efficient in saving storage and preserving image quality thus becoming extremely popular. On the other hand, the overall process leaves traces into encoded signals which are typically exploited for forensic purposes: for instance, the compression parameters of the acquisition device (or editing software) could be inferred. To this aim, in this paper a novel technique to estimate “previous” JPEG quantization factors on images compressed multiple times, in the aligned case by analyzing statistical traces hidden on Discrete Cosine Transform (DCT) histograms is exploited. Experimental results on double, triple and quadruple compressed images, demonstrate the effectiveness of the proposed technique while unveiling further interesting insights.

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