Essays about: "Low-Light image enhancement"

Showing result 1 - 5 of 6 essays containing the words Low-Light image enhancement.

  1. 1. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Guangzhi Wang; [2023]
    Keywords : ORB-SLAM3; compression; image feature; localization accuracy; internal parameter; hybrid compressing; brightness enhancement; ORB-SLAM3; kompression; bildfunktion; lokaliseringsnoggrannhet; intern parameter; hybridkomprimering; ljusstyrkeförstärkning;

    Abstract : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. READ MORE

  3. 2. Object Detection with Deep Convolutional Neural Networks in Images with Various Lighting Conditions and Limited Resolution

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Roman Landin; [2021]
    Keywords : Object detection; Super Resolution image generation; Low-Light image enhancement; Computer Vision; Detektion av objekt; Bildgenerering med superupplösning; Förbättring av bilder med dålig belysning; Datorseende;

    Abstract : Computer vision is a key component of any autonomous system. Real world computer vision applications rely on a proper and accurate detection and classification of objects. A detection algorithm that doesn’t guarantee reasonable detection accuracy is not applicable in real time scenarios where safety is the main objective. READ MORE

  4. 3. Real-world low-light image enhancement using Variational Autoencoders

    University essay from Lunds universitet/Matematik LTH

    Author : Olle Eriksson; [2020]
    Keywords : machine learning; deep learning; U-Net; VAE; variational autoencoder; image processing; low-light vision; Mathematics and Statistics;

    Abstract : Low-light image enhancement is a hard task mainly due to the amount of noise and little information stored in the dark image. In this thesis project we develop a method for low-light image enhancement based on a Conditional Variational Autoencoder (CVAE). The CVAE is a deep learning model trained with a specific objective function (ELBO). READ MORE

  5. 4. Autonomous Driving: Traffic Sign Classification

    University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Author : Sai Subhakar Tirumaladasu; Shirdi Manjunath Adigarla; [2019]
    Keywords : Autonomous Driving; Deep Learning; Image Processing; Convolutional Neural Networks; Recurrent Neural Networks; Generative Adversarial Networks;

    Abstract : Autonomous Driving and Advance Driver Assistance Systems (ADAS) are revolutionizing the way we drive and the future of mobility. Among ADAS, Traffic Sign Classification is an important technique which assists the driver to easily interpret traffic signs on the road. READ MORE

  6. 5. Mobile Application Development with Image Applications Using Xamarin

    University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Author : VENKATA SARATH GAJJELA; SURYA DEEPTHI DUPATI; [2018]
    Keywords : Android; Application Program Interface; Histogram Equalization; Image enhancement; IOS; MATLAB; Probability density function; Xamarin Software.;

    Abstract : Image enhancement improves an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Image enhancement techniques have been widely used in many applications of image processing where the subjective quality of images is important for human interpretation. READ MORE