Browsing by Subject "Image processing"
Now showing items 21-33 of 33
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Moment based image segmentation
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)Usually, digital image of scene is not same as actual; it may degrade because of environment, camera focus, lightening conditions, etc. Segmentation is the key step before performing other operations like description, ... -
Multiresolution fusion of satellite images and super-resolution of hyper-spectral images
(Dhirubhai Ambani Institute of Information and Communication Technology, 2010)This thesis presents a model based approach for multi-resolution fusion of the satellite images. Given a high resolution panchromatic (Pan) image and a low spatial but high spectral resolution multi spectral (MS) image ... -
Multiresolution fusion using compressive sensing and graph cuts
(Dhirubhai Ambani Institute of Information and Communication Technology, 2012)Multiresolution fusion refers to the enhancement of low spatial resolution (LR) of Multispectral (MS) images to that of Panchromatic (Pan ) image without compro- mising on the spectral details. Many of the present day ... -
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 ... -
Novel architecture for a CMOS low noise amplifier at 2.4 GHz
(Dhirubhai Ambani Institute of Information and Communication Technology, 2005)Radio frequency design has been one of the major research areas in the recent past. Emergence of several Wireless Communication standards has demanded availability of different analog blocks for use in transceivers with ... -
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 ... -
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 ... -
Object-background segmentation from video
(Dhirubhai Ambani Institute of Information and Communication Technology, 2015)Fast and accurate algorithms for background-foreground separation are an essential part of <p/>any video surveillance system. GMM (Gaussian Mixture Models) based object segmentation <p/>methods give accurate results for ... -
On designing DNA codes and their applications
(Dhirubhai Ambani Institute of Information and Communication Technology, 2019)Bio-computing uses the complexes of biomolecules such as DNA (Deoxyribonucleic acid), RNA (Ribonucleic acid) and proteins to perform the computational processes for encoding and processing the data. In 1994, L. Adleman ... -
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. ... -
Shadow Detection and Removal from video using Deep Learning
(Dhirubhai Ambani Institute of Information and Communication Technology, 2023)The removal of shadow from images is crucial in computer vision as it can enhancethe interpretability and visual quality of images. This research work proposesa cascade U-Net architecture for the shadow removal, consisting ... -
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 ... -
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 ...