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Now showing items 21-29 of 29
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. ...
Automatic car license plate recognition
(Dhirubhai Ambani Institute of Information and Communication Technology, 2005)
In most traffic applications, someone gathers information manually at the scene or watching the video of a scene. With automatic car license plate recognition using image processing techniques, new ways of capturing traffic ...
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 ...
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 ...
Object classification in images using information slicing
(Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
Human visual system, in real world, identifies objects by their shapes, sizes and colors. More than often we identify objects around us specifically by using contextual knowledge of the objects. For example, an area of ...
Single frame superresolution
(Dhirubhai Ambani Institute of Information and Communication Technology, 2008)
Super-resolving an image from single frame observation image. In many cases more than one low resolution observations may not be available, need high spatial resolution images e.g. medical imaging, remote sensing etc.. We ...
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 ...