Search
Now showing items 11-19 of 19
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 ...
Fingerprint image preprocessing for robust recognition
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
Fingerprint is the oldest and most widely used form of biometric identification. Since they are
mainly used in forensic science, accuracy in the fingerprint identification is highly important.
This accuracy is dependent ...
Estimating depth from monocular video under varying illumination
(Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
Ability to perceive depth and reconstruct 3D surface of an image is a basic function of many areas of computer vision. Since 2D image is the projection of 3D scene in two dimension, the information about depth is lost. ...
Detection and localization of tampering in a digital medical image using discrete wavelet transform
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
Use of digital images has increased tremendously in medical science as a diagnosis
tool. It made investigation easier and quick. But at the same time it raises the
question of authenticity of the image under scrutiny. ...
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 ...