Title :
Image Component Analyses by Various Representations of Max-Plus Algebra Based Wavelet Transform
Author :
Nobuhara, Hajime ; Barnabas, Bede
Author_Institution :
Tokyo Inst. of Technol., Tokyo
Abstract :
Image component analyses by various representation of max-plus algebra based wavelet transform is proposed, where analysis and synthesis operations of the wavelets are defined by max (or min) and standard sum. In the case of proposed wavelets, various component results can be generated by changing the size/shape of the sampling window used in the analysis/synthesis process. The proposed wavelets especially can reserve edge information on compressed images due to the non-linear operations (max and min); therefore, they are efficient for predictive frames used in video compression and reconstruction. In the experiments, various image component analyses results and video compression and reconstruction by the proposed wavelets are shown.
Keywords :
algebra; data compression; image reconstruction; image representation; video coding; wavelet transforms; edge information; image component analysis; image compression; max-plus algebra; nonlinear operation; predictive frame; sampling window; standard sum; synthesis process; video compression; video reconstruction; wavelet transform; Algebra; Image analysis; Image reconstruction; Image sampling; Shape; Signal analysis; Signal synthesis; Video compression; Wavelet analysis; Wavelet transforms; Component Analysis; Mathematical Morphology; Max-plus Algebra; Wavelet Transform;
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
DOI :
10.1109/WAC.2006.375759