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» Multiresolution compression and reconstruction
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ECCV
2010
Springer
14 years 26 days ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
MAMMO
2010
Springer
13 years 11 months ago
Combined Reconstruction and Registration of Digital Breast Tomosynthesis
Digital breast tomosynthesis (DBT) has the potential to enhance breast cancer detection by reducing the confounding effect of superimposed tissue associated with conventional mamm...
Guang Yang, John H. Hipwell, Matthew J. Clarkson, ...
CRV
2005
IEEE
118views Robotics» more  CRV 2005»
14 years 1 months ago
An Object Detection System using Image Reconstruction with PCA
We present an object detection system that is applied to detecting pedestrians in still images, without assuming any a priori knowledge about the image. The system works as follow...
Luis Malagón-Borja, Olac Fuentes
EUROMICRO
2000
IEEE
14 years 2 days ago
Efficient Image Compression of Medical Images Using the Wavelet Transform and Fuzzy c-means Clustering on Regions of Interest
This paper suggests a novel image compression scheme, using the discrete wavelet transformation (DWT) and the fuzzy c-means clustering technique. The goal is to achieve higher com...
Dimitris A. Karras, S. A. Karkanis, Dimitrios E. M...
ICIP
2009
IEEE
13 years 5 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha