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Fractal based approach for image segmentation
(Dhirubhai Ambani Institute of Information and Communication Technology, 2004)
In this thesis, we have proposed an algorithm for image segmentation, using the fractal codes. The basic idea behind this algorithm is to use fractal codes for the image segmentation. This method uses compressed codes ...
New learning based super resolution using contourlet transform
(Dhirubhai Ambani Institute of Information and Communication Technology, 2009)
new learning based super-resolution reconstruction using contourlet transforms is proposed. contourlet transform provides high degree of directionality. It captures geometrical smoothness along multiple directions and ...
Active contours in action
(Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
There was considerable success in converting images into something like line drawings without resorting to any but the most general prior knowledge about smoothness and continuity. That led to the problem of “grouping” ...
Practical approach for depth estimation and image restoration using defocus cue
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Reconstruction of depth from 2D images is an important research issue in computer vision. Depth from defocus (DFD) technique uses space varying blurring of an image as a cue in reconstructing the 3D structure of a scene. ...
Super-resolution of hyperspectral images
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Hyperspectral (HS) images are used for space areal application, target detection and remote sensing application. HS images are very rich in spectral resolution but at a cost of spatial resolution. HS images generated by ...