Now showing items 549-568 of 1148

    • 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 authentication using genetic algorithm 

      Londhey, Arjun (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      With a widespread deployment of digital images, there is need to authenticatesuch images for their originality and integrity.The main objective of the work is todesign an authentication scheme that allows two parties to ...
    • Image captioning and neural architecture search using reinforcement learning 

      Shaw, Grishma (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      With the advent of Deep Learning, problem solving expertise for a machine has exponentially increased. The past decade has experienced much success in the field of deep neural networks in many difficult areas such as image, ...
    • Image Captioning Using Visual And Semantic Attention Mechanism 

      Patel, Abhikumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      Image captioning is a method of generating captions/descriptions for the image. Image captioning have many applications in various fields like image indexing for content based image retrieval, Self-driving car, for visually ...
    • Image captioning using xception 

      Maulvi, Mohammed Nadeem G. (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      The main aim of the project was to create a model that generates the captions. The captions must be syntactically correct and semantically true. Also the goal was to create a new model that can achieve outstanding results ...
    • Image Compression using 2D-Discrete Wavelet Transform on a Reconfigurable Architecture 

      Singh, Mansi (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      "This thesis presents a hardware implementation of 2D-DWT, an image compression technique, on a reconfigurable architecture targeting image processing applications developed in-house as the part of the Ph.D. research work. ...
    • Image compression using DCT and compressive sensing (CS) theory 

      Jain, Archit (Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
      Data compression is a method of storing the same information with less data or space. There are many techniques available for compressing the image data resulting in reduced storage space. Minimizing storage space minimizes ...
    • Image denoising 

      Yadav, Satyanjali (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Image Denoising has been a topic of research interest since as early as 17th century. Various techniques of denoising a noisy image have evolved. In fact, the endeavor towards better Image denoising techniques continues ...
    • Image epitome generation and its applications 

      Shah, Twinkle (Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
      An image modeling scheme named “Epitome" was proposed by Brendan J. Frey and Nebjsa Jojic in 2002 [1]. Image epitome is a miniature, condensed version of the image. It is much smaller in the size compared to the input image ...
    • Image Processing Using Digital Programming on FPGA 

      Kachchhi, Hardi (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Image processing is a way to transform an image into digital form and after thatperform some operations on it that helps to improve images for human interpretationand extract useful information from it. It is essential for ...
    • Image question and answering 

      Mehta, Archan (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      In the past few years, Question Answering on Images has achieved a lot of attention from researchers. It is a must-researched topic, since it covers both the domain of Computer Vision and Natural Language Processing. Recent ...
    • Image ranking based on clustering 

      Sharma, Monika (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
    • Image segmentation fusion by edge detection techniques 

      Koshti, Nishant (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 ...
    • Image Super Resolution Using Deep Neural Networks 

      Singh, Harsh Vardhan (2021)
      The recent outbreak of COVID-19 has motivated researchers to contribute in the area of medical imaging using artificial intelligence and deep learning. Superresolution (SR), in the past few years, has produced remarkable ...
    • 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 ...
    • Imbalanced bioassay data classification for drug discovery 

      Shah, Jeni Snehal (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      All the methods developed for pattern recognition will show inferior performance if the dataset presented to it is imbalanced, i.e. if the samples belonging to one class are much more in number compared to the samples ...
    • 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 ...
    • Impact of Weather Conditions on Macroscopic Traffic Stream Variables in an Intelligent Transportation System 

      Nigam, Archana (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      "Accurate prediction of the macroscopic traffic stream variables such as speed and flow is essential for the traffic operation and management in an Intelligent Transportation System (ITS). Adverse weather conditions like ...
    • Implementation & analysys of neural networks on microcontrollers 

      Suthar, Het (2021)
      In this work, various neural network architectures such as convolutional neural network (CNN), deep neural networks (DNN), depth wise separable neural network (DS-CNN), have been deployed on different microcontrollers with ...
    • Implementation of ALU using RTL to GDSII flow and on NEXYS 4 DDR FPGA board 

      Kachhadiya, Radhika J. (2021)
      An ALU is the major part of the CPU which performs various arithmetic and logical operations. It is one of the most frequently used modules in the processor. This paper presents the implementation of 8-bit ALU using RTL ...