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» On the Use of Marginal Statistics of Subband Images
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ICIP
2009
IEEE
14 years 7 months ago
Context-based Bias Removal Of Statistical Models Of Wavelet Coefficients For Image Denoising
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...
ISCAS
2008
IEEE
171views Hardware» more  ISCAS 2008»
14 years 19 days ago
Statistical image modeling using von Mises distribution in the complex directional wavelet domain
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
ICMCS
2007
IEEE
169views Multimedia» more  ICMCS 2007»
14 years 16 days ago
Identifying Computer Graphics using HSV Color Model and Statistical Moments of Characteristic Functions
Computer graphics generated by advanced rendering software come to appear so photorealistic that it has become difficult for people to visually differentiate them from photographi...
Wen Chen, Yun Q. Shi, Guorong Xuan
BIOID
2008
157views Biometrics» more  BIOID 2008»
13 years 8 months ago
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Abstract. Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data th...
Daniel González-Jiménez, José...
ICIP
2006
IEEE
14 years 7 months ago
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function
Wavelet domain statistical modeling of images has focused on modeling the peaked heavy-tailed behavior of the marginal distribution and on modeling the dependencies between coeffi...
Ivan W. Selesnick