| publication name | Integral images compression using discrete wavelets and PCA |
|---|---|
| Authors | Sherin Kishk, Hosam Eldin Mahmoud Ahmed, Hala Helmy |
| year | 2011 |
| keywords | |
| journal | International Journal of Signal Processing, Image Processing and Pattern Recognition |
| volume | Not Available |
| issue | Not Available |
| pages | 65-78 |
| publisher | Not Available |
| Local/International | International |
| Paper Link | Not Available |
| Full paper | download |
| 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....