Authenticating corrupted photo images based on noise parameter estimation

Sang Woong Lee, Ho Cheol Jung, Bon Woo Hwang, Seong Whan Lee

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Photo image authentication is an interesting and demanding field in the computer vision and image processing community. This research is motivated by its wide range of applications, which include smart card authentication systems, biometric passport systems, etc. In this paper, we propose a method of authenticating corrupted photo images based on noise parameter estimation. The proposed method first generates corrupted images by adjusting the noise parameters in the initial training phase. This set of corrupted images and the noise parameters can be represented by a linear combination of the prototypes of the corrupted images and the noise parameters. In the testing phase, the noise parameters of the corrupted photo image can be estimated with a corrupted image and an original image. Finally, we can make a synthesized photo image from the original photo image using the estimated noise parameters and verify it with the corrupted photo image. The experimental results show that the proposed method can estimate the noise parameters accurately and improve the performance of photo image authentication.

Original languageEnglish
Pages (from-to)910-920
Number of pages11
JournalPattern Recognition
Volume39
Issue number5
DOIs
Publication statusPublished - 2006 May

Keywords

  • Corrupted photo image
  • Noise model
  • Noise parameter estimation
  • Photo image authentication

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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