Search
Now showing items 11-16 of 16
Object segmentation in still camera videos
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
The goal of object segmentation is to simplify and change the representation of an image into more meaningful so that it can easily analyse. Segmentation is the process of partitioning the digital image into multiple ...
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 ...
Learning cross domain relations using deep learning
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
The Generative Adversarial Networks (GAN) have achieved exemplary performance
in generating realistic images. They also perform image to image translation
and produce good results for the same. In this thesis, we explore ...
Image segmentation fusion by edge detection techniques
(Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
Image Segmentation is one of the basic building blocks in image processing.It is a pre-processing task to make an image processable for further operations such as noise removal,decomposition,morphological operations etc.It ...
Classification of 3D volume data using finite mixture models
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
The 3D imaging provides better view of objects from three directions as compared to 2D imaging where front face of object can be viewed only. It involves a complex relationship as compared to 2D imaging and hence computationally ...