Image Denoising Using Matched Biorthogonal Wavelets

  title={Image Denoising Using Matched Biorthogonal Wavelets},
  author={Sanjeev Pragada and J. Sivaswamy},
  journal={2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing},
  • Sanjeev Pragada, J. Sivaswamy
  • Published 2008
  • Computer Science
  • 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing
Current denoising techniques use the classical ortho normal wavelets for decomposition of an image corrupted with additive white Gaussian noise, upon which various thresholding strategies are built. The use of available biorthogonal wavelets in image denoising is less common because of their poor performance. In this paper, we present a method to design image-matched biorthogonal wavelet bases and report on their potential for denoising. We have conducted experiments on various image datasets… Expand
13 Citations
Adaptive image denoising using cuckoo algorithm
  • 30
  • Highly Influenced
Image Compression Preprocessing for ANN Ensemble Motion Detection System
  • 1
  • PDF


Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
  • 971
  • Highly Influential
  • PDF
Adaptive wavelet thresholding for image denoising and compression
  • 2,746
  • Highly Influential
  • PDF
Image denoising using scale mixtures of Gaussians in the wavelet domain
  • 2,349
  • PDF
A new approach for estimation of statistically matched wavelet
  • 76
  • PDF
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  • S. Mallat
  • Computer Science, Mathematics
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1989
  • 19,938
  • Highly Influential
  • PDF
Algorithms for designing wavelets to match a specified signal
  • J. Chapa, R. Rao
  • Mathematics, Computer Science
  • IEEE Trans. Signal Process.
  • 2000
  • 173
  • PDF
On the optimal choice of a wavelet for signal representation
  • 256
Ideal spatial adaptation by wavelet shrinkage
  • 7,445
  • Highly Influential
  • PDF
Wavelets and Subband Coding
  • 2,873
  • PDF
Ten Lectures on Wavelets.
  • 3,666