DocumentCode
2698899
Title
Bidimensional Empirical Mode Decomposition for multiresolution image coding
Author
Guaragnella, C. ; Manni, A. ; Palumbo, F. ; Politi, T.
Author_Institution
Electrics & Electron. Dept., Politec. di Bari, Bari, Italy
fYear
2010
fDate
6-8 Sept. 2010
Firstpage
34
Lastpage
37
Abstract
Bidimensional Empirical Mode Decomposition (BEMD) provides a tool for image processing for its special ability to locally separate spatial frequencies. The Intrinsic Mode Functions (IMFs) other than the first are images of lower frequency components. The coding method presented in this paper uses the BEMD process to create two sub-band images from the original image: hi and low frequency. These images are differently subsampled and compressed by JPEG standard with different quality factor and then sent to a feedback system to compensate the quality loss in the compression process. The proposed paper proposes a technique to enhance jpeg encoding of images. Reconstructed images produce increased visual appearance of correspondent jpeg coded ones at same compression rate.
Keywords
Q-factor; data compression; feedback; image coding; image reconstruction; image resolution; JPEG standard; bidimensional empirical mode decomposition; feedback system; image coding; image compression; image quality; image reconstruction; image resolution; intrinsic mode function; quality factor; Bit rate; Image coding; Image resolution; PSNR; Pixel; Signal resolution; Transform coding; Bidimensional empirical mode decomposition; image coding; multiresolution decomposition; spatial frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Measurement Systems and Applications (CIMSA), 2010 IEEE International Conference on
Conference_Location
Taranto
Print_ISBN
978-1-4244-7228-4
Type
conf
DOI
10.1109/CIMSA.2010.5611762
Filename
5611762
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