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» A New Method of Image Denoise Using Contourlet Transform
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96
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MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
15 years 3 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
ICIP
2010
IEEE
14 years 6 months ago
Enhancing low light images using near infrared flash images
In low light environment, photographs taken with a high ISO setting suffer from significant noise. In this paper, we propose to use a near infrared (NIR) flash image, instead of a...
Shaojie Zhuo, Xiaopeng Zhang, Xiaoping Miao, Teren...
73
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TIP
2011
84views more  TIP 2011»
14 years 4 months ago
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
—The removal of Poisson noise is often performed through the following three-step procedure. First, the noise variance is stabilized by applying the Anscombe root transformation ...
Markku Makitalo, Alessandro Foi
ICIP
2009
IEEE
15 years 10 months ago
Color Constancy Using Denoising Methods And Cepstral Analysis
We address here the problem of color constancy and propose two new methods for achieving color constancythe first method uses denoising techniques such as a Gaussian filter, Media...
DICTA
2003
14 years 10 months ago
Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
Lei Jiang, Wenhui Yang