A NOISED MODEL AND ITS APPLICATION FOR DETECTING IMAGE MATERIALS

Authors

  • Đỗ Năng Toàn Nhà xuất bản Khoa học Tự nhiên và Công nghệ
  • Lê Thị Kim Nga
  • Nguyễn Thị Hồng Minh

DOI:

https://doi.org/10.15625/0866-708X/48/6/1204

Abstract

SUMMARY

Images always have noises due to image acquisition processes. Noises are created by self of objects and environments. Each of materials has specific number of noises, which characterizes that material. Noise features of the material are called material noises. This paper deals with a technique for detecting image materials which base on noise analysis of images. By experiments, the technique exposed fairly accurate results for some natural materials at first, especially homogeneous materials about illuminates and extracted invariant features is sparse.

Keywords. Noises, materials, invariant feature, reduce noise, wavelet, texture feature

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Published

2012-06-26

How to Cite

Toàn, Đỗ N., Kim Nga, L. T., & Hồng Minh, N. T. (2012). A NOISED MODEL AND ITS APPLICATION FOR DETECTING IMAGE MATERIALS. Vietnam Journal of Science and Technology, 48(6). https://doi.org/10.15625/0866-708X/48/6/1204

Issue

Section

Articles