Sökning: "Infrared and visible image fusion"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Infrared and visible image fusion.

  1. 1. Infrared and Visible Image Fusion with an Unsupervised Network

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Matilda Granqvist; [2023]
    Nyckelord :Machine learning; Image processing; Image fusion; CNN;

    Sammanfattning : Image fusion is a technique that aims to combine semantic information from different source images into a new synthesized image that contains information from both source images. It is a technique that can be useful in many different areas, such as reconnaissance, surveillance and medical diagnostics. LÄS MER

  3. 2. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jin Wanqi; [2023]
    Nyckelord :Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

    Sammanfattning : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. LÄS MER

  4. 3. Image Fusion of Infrared and Visible Images for Computer Vision Tasks

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Emil Friðriksson; [2023]
    Nyckelord :;

    Sammanfattning : Reliable perception in all type of weather conditions is an integral part of autonomous vehicles. In recent years, infrared cameras have become more accessible resulting in increased research and a handful of publicly available datasets that provide image pairs of infrared and visible images. LÄS MER

  5. 4. VTG-Fusion : A GAN-ViT-Based Infrared and Visible ImageFusion Method

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Geng Jiaqi; [2022]
    Nyckelord :Infrared and visible image fusion; deep learning; Generative adversarial network; Transformer; Infraröd och synlig bildfusion; djupinlärning; GAN; Transformator;

    Sammanfattning : Infrared and visible image fusion targets generating one image with texture details from visible images and highlighted objects from the infrared images. It has been widely used in object recognition and object detection. LÄS MER

  7. 5. Use of Thermal Imagery for Robust Moving Object Detection

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Hannah Bergenroth; [2021]
    Nyckelord :Moving object detection; background subtraction; convolutional neural network; image fusion;

    Sammanfattning : This work proposes a system that utilizes both infrared and visual imagery to create a more robust object detection and classification system. The system consists of two main parts: a moving object detector and a target classifier. LÄS MER