أعضاء هيئة التدريس - جامعة بنها
Integral images compression using discrete wavelets and PCA
International Journal of Signal Processing, Image Processing and Pattern Recognition • 2011
معلومات البحث
المؤلفون
Sherin Kishk, Hosam Eldin Mahmoud Ahmed, Hala Helmy
الكلمات المفتاحية
Not Available
المجلة العلمية
International Journal of Signal Processing, Image Processing and Pattern Recognition
الناشر
Not Available
المجلد
Not Available
العدد
Not Available
الصفحات
65-78
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
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....