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Integral images compression using discrete wavelets and PCA
International Journal of Signal Processing, Image Processing and Pattern Recognition • 2011
Publication Information
Authors
Sherin Kishk, Hosam Eldin Mahmoud Ahmed, Hala Helmy
Keywords
Not Available
Journal
International Journal of Signal Processing, Image Processing and Pattern Recognition
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
65-78
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Abstract A technique for integral image compression is presented. The proposed technique
relies on applying principle component analysis, PCA, on the wavelet coefficients of the
elemental images to improve the quality of the recovered 3D image while achieving high
compression ratio. The wavelet coefficients of the individual elemental images are stacked
and rearranged before applying PCA compression. The PCA compression is applied to
each sub-band individually to enhance the compression ratio. The quality of the....
relies on applying principle component analysis, PCA, on the wavelet coefficients of the
elemental images to improve the quality of the recovered 3D image while achieving high
compression ratio. The wavelet coefficients of the individual elemental images are stacked
and rearranged before applying PCA compression. The PCA compression is applied to
each sub-band individually to enhance the compression ratio. The quality of the....