Browsing by Author "Mandal, Srimanta"
Now showing items 1-19 of 19
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A Novel Image Colorization Architecture and UnderWater Image Color Correction Using Deep Neural Networks
Pipara, Arpit (2021)Image colorization has been an interesting and exciting research topic due to its “multi-modal” nature. Before the onset of deep learning, image colorization systems were not end-to-end and required a tremendous amount of ... -
Bag of words (BoW) generation from given features for optimizing feature matching in V-SLAM application
Varshney, Kratika (2020)The project aims at generation of Bag of words from given features for optimizing feature matching in V-SLAM application. Simultaneous localization and mapping (SLAM) is the process where an ego vehicle builds a global map ... -
Classification of Polarimetric SAR Images
Chaudhari, Nilamben (2021)Classification of terrain into different ground covers is one of the predominant applications of polarimetric SAR images. TheWishart classifier works well for major classification tasks. However, it is effective only for ... -
Creation of automation plugins for autosar tool
Gupta, Suesha (2020)Automotive system development is getting more complex due to several reasons such as exponential increase of automotive functionality and hence development of software time. Furthermore, nowadays each vehicle has more than ... -
Heavy Metal Detection in Crops and Soil Clay Mineral Abundance Mapping using Hyperspectral Data
Priya, Swati (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)Presence of heavy metal in crops is an indicator of environmental pollution. Theheavy metals found in the plant indicate that the specific metal exists in the terrestrialenvironment. These metals affect leaves� spectral ... -
Image and video super resolution using deep learning
Parikh, Dharit (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)The aim of the Super-Resolution (SR) technique is to recover the High Resolution (HR) image from a Low Resolution (LR) image. It has applications in many computer vision areas such as medical imaging, face recognition and ... -
Image Super-Resolution by Combining Non-Local Sparse Attention and Residual Channel Attention
Bhavsar, Manali Hiteshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)Single Image Super Resolution (SISR) is an illposed problem that aims to gener ate a high resolution (HR) image from a single low resolution (LR) image. The low resolution image and its associated features are very rich ... -
Impact of Image Enhancement on Multi-Object Tracking in Underwater Scenario
Kumar, Rahul (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)This thesis examines the impact of image enhancement techniques on multi-objecttracking (MOT) performance using four deep learning models: Long Short-TermMemory (LSTM), Vision Transformer, Siamese Network, and Convolutional ... -
Increasing Transferability by Imposing Linearity and Perturbation in Intermediate Layer with Diverse Input Patterns
Shah, Meet Ashvinkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)Despite high prediction accuracy, deep neural networks are vulnerable to adversarial attacks, introduced by perturbations that humans may not even perceive. Hence, adversarial examples can mislead the trained networks. As ... -
Multi-patch Hierarchical Network with Non-local Information for Real World Image Denoising
Savaliya, Krishna (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)In the domain of image denoising, there has been significant and rapid devel opment recently. Many prior noise modeling based and deep learning based al gorithms have shown outstanding results in denoising. However, the ... -
Non-homogeneous Dehazing of Images by Attention Mechanism in Deep Framework
Dhedhi, Akash T. (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)The availability of dehazing datasets has enabled various deep learning techniques to perform effectively on hazy images. Most of the developed frameworks focus on removing homogeneous haze. However, homogeneous centric ... -
Polarimetric SAR Image Classification using Gaussian Context Transformer in Complex-Valued Convolutional Neural Networks
Pandya, Utkarsh Samirbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)There have been many advancements in the field of terrain classification usingPolarimetric SAR images/data. This Thesis explores different classical methodsas well as deep learning methods for this task. The Covariance ... -
PolSAR Image Classification using Complex-Valued CNN and Squeeze-Excitation Network
Makhija, Shradha Vipinkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)Terrain classification is one of the most crucial tasks when utilisation of polarimetric SAR images comes into the picture. This work explores the efficiency of various supervised deep learning algorithms that make use of ... -
Salient Object Super-resolution
Gaur, Attendra (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)Salient object super-resolution refers to enhancing the resolution and details ofsalient objects or regions in an image. It is a sub-field of image super-resolution,which aims to generate high-resolution salient object ... -
Single Image De-raining Using Convolutional Neural Network
Gajera, Pinak (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)Rain streaks vary in size, quantity, and direction, making removing them from individualimages difficult. Recent advancements in deep learning, especially thoseusing CNN-based techniques, have shown promising results in ... -
Single Image Dehazing for Homogeneous and Non-Homogeneous Haze using Deep Neural Network
Gajjar, Manan (2021)Image dehazing is an "ill-posed problem" that has been extensively studied in recent years. Available methods use various constraints/priors, deep learning, or a combination of both to get plausible dehazing solutions. ... -
Temporal Consistent Video Manipulation : Facial Expression Transfer video to video
Rajyaguru, Keval Atulkumar (2021)Facial expression transfer is an important problem in computer vision community due to its applicability in human computer interaction, facial animation, etc. Most of the existing approaches mainly deal with images. However, ... -
Unsupervised Cycle GAN based Homogeneous and Non-homogeneous Image Dehazing
Vekariya, Jaymin (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)Atmospheric phenomena like haze, fog, and smoke degraded image visibility. Asa result, there is less contrast, colour distortion, etc. in the obtained image. Inremote sensing, computer vision, and photography, haze reduction ... -
Video captioning
Laheri, Vishal Bharatkumar (2020)In recent years, models for video captioning task has been improved very much. Despite advancement, it is still impeded by hardware constraints. Video captioning models takes a sequence of images and caption as inputs, ...