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PAMI
1998
76views more  PAMI 1998»
13 years 7 months ago
Segmenting Images Corrupted by Correlated Noise
—Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of nonoverlapping homogeneous regions. The main contribution o...
Thomas C. M. Lee
TSP
2010
13 years 2 months ago
DOA estimation of quasi-stationary signals with less sensors than sources and unknown spatial noise covariance: a Khatri-Rao sub
In real-world applications such as those for speech and audio, there are signals that are nonstationary but can be modeled as being stationary within local time frames. Such signal...
Wing-Kin Ma, Tsung-Han Hsieh, Chong-Yung Chi
TIP
2010
113views more  TIP 2010»
13 years 2 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...
ICIP
2009
IEEE
13 years 5 months ago
Adding Gaussian noise to "denoise" JPEG for detecting image resizing
In this paper, we propose robust methods to detect image resizing. A common problem affecting most resizing detection algorithms is that they are susceptible to JPEG compression a...
Lakshmanan Nataraj, Anindya Sarkar, Bangalore S. M...
FOCS
2006
IEEE
14 years 1 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra