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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 ...
Image ranking based on clustering
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted
by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
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. ...
Content-based image retrieval system for multi-object images using a combination of features
(Dhirubhai Ambani Institute of Information and Communication Technology, 2006)
Content-based image retrieval (CBIR) is a research area dedicated to address the retrieval of images based on automatically derived features from the content of the images in database. Traditional CBIR systems generally ...