Curvelet Transform Based Image Denoising Via Gaussian Mixture Model

ENGİN, Mustafa Alptekin; Çavuşoğlu, Bülent

doi:10.1109/siu.2014.6830525

Bildiri Tam Metin Bildiri Uluslararası 2014

Curvelet Transform Based Image Denoising Via Gaussian Mixture Model

Mustafa Alptekin ENGİN, Bülent Çavuşoğlu

22nd IEEE Signal Processing and Communications Applications Conference (SIU) ss. 1499–1502 · Trabzon · 23.04.2014–25.04.2014 · 23.04.2014

DOI ile aç

Özet

This paper presents a novel image denoising method based on curvelet transform and gaussian mixture model. After decomposing noisy images into curvelet domain, gaussian mixture model (GMM) is applied and obtained statistical parameters are used for calculating adaptive level depended thresholds. Noise removal is performed using hard threshold method in the curvelet coefficients of each sub-band. Due to the adaptive thresholding for each level the restored images are visually satisfactory.

Atıf için künye

ENGİN, M. A., & Çavuşoğlu, B. (2014). Curvelet Transform Based Image Denoising Via Gaussian Mixture Model. 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon (ss. 1499–1502). https://doi.org/10.1109/siu.2014.6830525

BibTeX

@inproceedings{engin2014-9461,
  author = {ENGİN, Mustafa Alptekin and Çavuşoğlu, Bülent},
  title = {Curvelet Transform Based Image Denoising Via Gaussian Mixture Model},
  booktitle = {22nd IEEE Signal Processing and Communications Applications Conference (SIU)},
  address = {Trabzon},
  year = {2014},
  pages = {1499--1502},
  doi = {10.1109/siu.2014.6830525},
  url = {https://akademik.atauni.edu.tr/yayinlar/9461-curvelet-transform-based-image-denoising-via-gaussian-mixture-model}
}