Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Integral Imaging
 3. Discrete Wavelet Transform
 4. Principle Component Analysis
 5. The Proposed DWT-PCA II Compression Algorithm
  5.1. Steps of the algorithm
  5.2. Mathematical Analysis
  5.3. Metric of Measure:
  5.4. The Proposed Algorithm can be Summarized as Follows:
 6. Experimental Results
 7. Conclusion
 References

키워드

저자

• Sherin Kishk [ Assistant Lecture National Telecommunications Institute, NTI ]
• Hosam Eldin Mahmoud Ahmed [ Assistant Prof. Department of Computer Engineering Banha University ]
• Hala Helmy [ Associate Prof. Department of Communication Engineering Banha University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605