Image sythesis for depth estimation using stereo and focus analysis.

Tunçer, Fahri


Image segmentation and smoothing via partial differential equations
Özmen, Neslihan; Leblebicioğlu, Mehmet Kemal; Department of Scientific Computing (2009)
In image processing, partial differential equation (PDE) based approaches have been extensively used in segmentation and smoothing applications. The Perona-Malik nonlinear diffusion model is the first PDE based method used in the image smoothing tasks. Afterwards the classical Mumford-Shah model was developed to solve both image segmentation and smoothing problems and it is based on the minimization of an energy functional. It has numerous application areas such as edge detection, motion analysis, medical i...
Image resolution enhancement using wavelet domain Hidden Markov Tree and coefficient sign estimation
Temizel, Alptekin (2007-01-01)
Image resolution enhancement using wavelets is a relatively new subject and many new algorithms have been proposed recently. These algorithms assume that the low resolution image is the approximation subband of a higher resolution image and attempts to estimate the unknown detail coefficients to reconstruct a high resolution image. A subset of these recent approaches utilized probabilistic models to estimate these unknown coefficients. Particularly, hidden Markov tree (HMT) based methods using Gaussian mixt...
Image segmentation using a two dimensional genetic algorithm
Mut, Oğuz; Yarman Vural, Fatoş T.; Department of Computer Engineering (2001)
Image segmentation by fusion of low level and domain specific information via Markov Random Fields
Karadag, Ozge Oztimur; Yarman Vural, Fatoş Tunay (2014-09-01)
We propose a new segmentation method by fusing a set of top-down and bottom-up segmentation maps under the Markov Random Fields (MRF) framework. The bottom-up segmentation maps are obtained by varying the parameters of an unsupervised segmentation method, such as Mean Shift. The top-down segmentation maps are constructed from some priori information, called domain specific information (DSI), received from a domain expert in the form of general properties about the image dataset. The properties are then used...
Image Annotation by Semi-Supervised Clustering Constrained by SIFT Orientation Information
Sayar, Ahmet; Yarman-Vural, Fatos T. (2008-10-29)
Methods developed for image annotation usually make use of region clustering algorithms. Visual codebooks are generated from the region clusters of low level features. These codebooks are then, matched with the words of the text document related to the image, in various ways. In this paper, we supervise the clustering process by using the orientation information assigned to each interest point of Scale-invariant feature transform (SIFT) features to generate a visual codebook. The orientation information pro...
Citation Formats
F. Tunçer, “Image sythesis for depth estimation using stereo and focus analysis.,” Middle East Technical University, 2002.