@conference {12447,
	title = {Component-based restoration of speckled images},
	booktitle = {2011 18th IEEE International Conference on Image Processing (ICIP)},
	year = {2011},
	month = {2011/09/11/14},
	pages = {2797 - 2800},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Many coherent imaging modalities are often characterized by a multiplicative noise, known as speckle which often makes the interpretation of data difficult. In this paper, we present a speckle reduction algorithm based on separating the structure and texture components of SAR images. An iterative algorithm based on surrogate functionals is presented that solves the component optimization formulation. Experiments indicate this proposed method performs favorably compared to state-of-the-art speckle reduction methods.},
	keywords = {coherent imaging modalities, component optimization formulation, component-based restoration, Dictionaries, image restoration, iterative algorithm, iterative methods, multiplicative noise, NOISE, optimisation, radar imaging, SAR images, Speckle, speckle reduction algorithm, speckled images, structure components, surrogate functionals, synthetic aperture radar, texture components, transforms, TV},
	isbn = {978-1-4577-1304-0},
	doi = {10.1109/ICIP.2011.6116252},
	author = {Patel, Vishal M. and Easley,G. R and Chellapa, Rama}
}
