Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Face Image Compression using Generalized Hebbian Algorithm of Non-Parsed Image

  • Kyung Hwa lee (School of Electrical, Electronic and Computer Engineering, Dong-A University) ;
  • Seo, Seok-Bae (School of Electrical, Electronic and Computer Engineering, Dong-A University) ;
  • Kim, Daijin (Dept. of Computer Engineering, Pohang University of Sience and Technology) ;
  • Kang, Dae-Seong (School of Electrical, Electronic and Computer Engineering, Dong-A University)
  • Published : 2000.07.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes an image compressing and template matching algorithm for face image using GHA (Generalized Hebbian Algorithm). GHA is a part of PCA (Principal Component Analysis), that has single-layer perceptrons and operates and self-organizing performance. We used this algorithm for feature extraction of face shape, and our simulations verify the high performance for the proposed method. The shape for face in the fact that the eigenvector of face image can be efficiently represented as a coefficient that can be acquired by a set of basis is to compress data of image. From the simulation results, the mean PSNR performance is 24.08[dB] at 0.047bpp, and reconstruction experiment shows that good reconstruction capacity for an image that not joins at leaning.

Keywords