Title :
ALSD: An algorithm for noise erasure and structural information recovery for surfaces with structural discontinuities
Author :
Saha, Abheek ; Garg, Seema
Author_Institution :
Hughes Systique Corp., Gurgaon
fDate :
March 31 2008-April 4 2008
Abstract :
Image inversion techniques revolving around Tikhonov regularization try to use local heuristics to clean the noise and recover the image. We propose a segmentation based inversion algorithm which can recover the structural information in a two-dimensional image data composed of continuous sub-regions with discontinuous and disjoint adjacencies. We present results for different kinds of images with different noise and structural characteristics. We demonstrate that the algorithm works with a variety of noise signatures, is parallelizable and scalable.
Keywords :
image denoising; image reconstruction; image segmentation; Tikhonov regularization; image inversion technique; image noise removal; image recovery; image segmentation; noise erasure algorithm; structural image reconstruction; structural information recovery; Band pass filters; Extraterrestrial measurements; Filtering; Frequency; Image reconstruction; Image segmentation; Noise reduction; Polynomials; Surface cleaning; Surface reconstruction;
Conference_Titel :
Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS International Conference on
Conference_Location :
Doha
Print_ISBN :
978-1-4244-1967-8
Electronic_ISBN :
978-1-4244-1968-5
DOI :
10.1109/AICCSA.2008.4493594
