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Dr. Hosam El_Deen Mahmoud Ahmed :: Publications:

Title:
Integral Images Compression using Discrete Wavelets and PCA
Authors: Sherin Kishk , Hosam Eldin Mahmoud Ahmed; Hala Helmy
Year: 2011
Keywords: Integral Imaging, compression, wavelet, PCA
Journal: International Journal of Signal Processing, Image Processing and Pattern Recognition
Volume: 4
Issue: 2
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Hosam El_Deen Mahmoud Ahmed_integral.pdf
Supplementary materials Not Available
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 reconstructed 3D images and received elemental images are calculated. Results show high compression ratio compared to PCA alone compression while maintaining the recovered 3D image quality. PSNR is used to measure the reconstructed 3D image quality.

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