• Publications
  • Influence
The contourlet transform: an efficient directional multiresolution image representation
  • M. Do, M. Vetterli
  • Computer Science, Mathematics
  • IEEE Transactions on Image Processing
  • 1 December 2005
The limitations of commonly used separable extensions of one-dimensional transforms, such as the Fourier and wavelet transforms, in capturing the geometry of image edges are well known. In thisExpand
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The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
In this paper, we develop the nonsubsampled contourlet transform (NSCT) and study its applications. The construction proposed in this paper is based on a nonsubsampled pyramid structure andExpand
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  • 193
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
  • M. Do, M. Vetterli
  • Computer Science, Medicine
  • IEEE Trans. Image Process.
  • 1 February 2002
We present a statistical view of the texture retrieval problem by combining the two related tasks, namely feature extraction (FE) and similarity measurement (SM), into a joint modeling andExpand
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Semantic Image Inpainting with Deep Generative Models
Semantic image inpainting is a challenging task where large missing regions have to be filled based on the available visual data. Existing methods which extract information from only a single imageExpand
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The finite ridgelet transform for image representation
The ridgelet transform was introduced as a sparse expansion for functions on continuous spaces that are smooth away from discontinuities along lines. We propose an orthonormal version of the ridgeletExpand
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Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization
Most existing image dehazing methods tend to boost local image contrast for regions with heavy haze. Without special treatment, these methods may significantly amplify existing image artifacts suchExpand
  • 113
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Depth Video Enhancement Based on Weighted Mode Filtering
This paper presents a novel approach for depth video enhancement. Given a high-resolution color video and its corresponding low-quality depth video, we improve the quality of the depth video byExpand
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Directional multiscale modeling of images using the contourlet transform
  • D. Po, M. Do
  • Mathematics
  • IEEE Workshop on Statistical Signal Processing,
  • 2003
The contourlet transform is a new extension to the wavelet transform in two dimensions using nonseparable and directional filter banks. Because of its multiscale and directional properties, it canExpand
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Semantic Image Inpainting with Perceptual and Contextual Losses
In this paper, we propose a novel method for image inpainting based on a Deep Convolutional Generative Adversarial Network (DCGAN). We define a loss function consisting of two parts: (1) a contextualExpand
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Contourlets: a directional multiresolution image representation
  • M. Do, M. Vetterli
  • Computer Science
  • Proceedings. International Conference on Image…
  • 10 December 2002
We propose a new scheme, named contourlet, that provides a flexible multiresolution, local and directional image expansion. The contourlet transform is realized efficiently via a double iteratedExpand
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