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» The Use of Residuals in Image Denoising
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ICIP
1998
IEEE
14 years 2 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
ICIAP
2007
ACM
14 years 4 months ago
A new and reliable Poisson noise estimator for radiographic images
Digital images in general, and radiographies in particular, are mainly affected by photon counting noise. In this paper, we provide a method to estimate the gain of the imaging se...
Iuri Frosio, Mirko Lucchese, N. Alberto Borghese
TASLP
2008
124views more  TASLP 2008»
13 years 9 months ago
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
Cédric Févotte, Bruno Torrésa...
ICIP
2007
IEEE
14 years 11 months ago
Image Denoising with Directional Bases
Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is us...
Heechan Park, Graham R. Martin, Zhen Yao
BMVC
2010
13 years 8 months ago
A 2D+t Feature-preserving Non-local Means Filter for Image Denoising and Improved Detection of Small and Weak Particles
A feature-preserving non-local means (FP-NLM) filter has been developed recently for denoising images containing small and weak particlelike objects. It explores the commonly used...
Lei Yang, Richard Parton, Graeme Ball, Zhen Qiu, A...