Browsing NTNU Open by Title
Now showing items 45455-45474 of 100943
-
Image enhancement dataset for evaluation of image quality metrics
(Peer reviewed; Journal article, 2022)Image enhancement is important in different application areas such as medical imaging, computer graphics, and military applications. In this paper, we introduce a dataset with enhanced images. The images have been enhanced ... -
Image generation models from scene graphs and layouts: A comparative analysis
(Journal article; Peer reviewed, 2023) -
Image Inpainting with Learnable Feature Imputation
(Chapter, 2021)A regular convolution layer applying a filter in the same way over known and unknown areas causes visual artifacts in the inpainted image. Several studies address this issue with feature re-normalization on the output of ... -
Image processing and machine learning application for fault diagnosis in synchronous motors
(Master thesis, 2022)Synkronmotor feildiagnose gir innsikt i motorhelse og driftssikkerhet. Diagnostisk analyse utføres vanligvis ved å undersøke endringer i frekvenskomponenter. Denne oppgaven presenterer en bildebehandlings- og maskinlærings ... -
Image Processing and Target Tracking Technology in the Sea Cucumber Fishing Application
(Master thesis, 2019)With the development of people’s living standard, the consumption of the precious marine products is getting higher, and a class of the sea cucumber which grows in the northeast sea area in China is among them. However, ... -
Image Processing for Ice Floe Analyses in Broken-ice Model Testing
(Journal article; Peer reviewed, 2015)The ice floe shape and size distribution are important ice parameters in ice-structure analyses. Before performing an analysis at full scale, the dynamic positioning (DP) experiments in model ice at the Hamburg Ship Model ... -
Image Processing for Ice Parameter Identification in Ice Management
(Doctoral thesis at NTNU;2015:340, Doctoral thesis, 2015)Various types of remotely sensed data and imaging technology will aid the development of sea-ice observation to, for instance, support estimation of ice forces critical to Dynamic Positioning (DP) operations in Arctic ... -
Image Processing Module for Autonomous Vehicles: Advanced PCB design, fabrication, and assembly.
(Master thesis, 2012)The aim of this project is to design a small profile, low-power, high performance printed circuit board (PCB) with support for high speed peripherals, while relying on the equipment and facilities of NTNU as much as possible. ... -
Image Processing of 2-D Snow Images for Cross-Country Skiing
(Master thesis, 2020)Snø er et porøst og komplekst materiale med innflytelse på både vitenskapelige, teknologiske og sosiale arenaer. Dette gjør analyse av snø til en viktig, men krevende oppgave. Tredimensjonal snø analyse gir nøyaktig ... -
Image Quality and Detectability in Siemens Biograph PET/MRI and PET/CT Systems - A Phantom study
(Journal article; Peer reviewed, 2019)Background The technology of modern positron emission tomography (PET) systems continuously improving, and with it the possibility to detect smaller lesions. Since first introduced in 2010, the number of hybrid PET/magnetic ... -
Image Quality Assessment by Comparing CNN Features between Images
(Peer reviewed; Journal article, 2016)Finding an objective image quality metric that matches the subjective quality has always been a challenging task. We propose a new full reference image quality metric based on features extracted from Convolutional Neural ... -
Image Quality Assessment of Hyperspectral and Conventional Imaging for Cultural Heritage Artifacts
(Doctoral theses at NTNU;2023:356, Doctoral thesis, 2023)Preserving historical artifacts is crucial as they carry cultural significance beyond their artistic value and offer insight into their creation for future generations. Digitalization of cultural heritage artifacts preserves ... -
Image Quality Assessment without Reference by Combining Deep Learning-Based Features and Viewing Distance
(Peer reviewed; Journal article, 2021)An abundance of objective image quality metrics have been introduced in the literature. One important essential aspect that perceived image quality is dependent on is the viewing distance from the observer to the image. ... -
Image Quality Evaluation in Clinical Research: A Case Study on Brain and Cardiac MRI Images in Multi-Center Clinical Trials
(Journal article; Peer reviewed, 2018)Magnetic resonance imaging (MRI) system images are important components in the development of drugs because it can reveal the underlying pathology in diseases. Unfortunately, the processes of image acquisition, storage, ... -
Image quality in forensic CT imaging
(Doctoral theses at NTNU;2018:294, Doctoral thesis, 2018)What factors affect the diagnostic image quality in forensic computed tomography (CT) imaging? In this thesis I briefly present the main steps from CT scanning to diagnostics. The thesis is built on four core papers. The ... -
Image Quality Metrics for the Evaluation and Optimization of Capsule Video Endoscopy Enhancement Techniques
(Journal article; Peer reviewed, 2017)Capsule endoscopy, using a wireless camera to capture the digestive track, is becoming a popular alternative to traditional colonoscopy. The images obtained from a capsule have lower quality compared to traditional ... -
Image quality metrics for the evaluation of print quality
(Proceedings of SPIE;7867, Journal article; Peer reviewed, 2011)Image quality metrics have become more and more popular in the image processing community. However, so far, no one has been able to define an image quality metric well correlated with the percept for overall image quality. ... -
Image quality with iterative reconstruction techniques in CT of the lungs?A phantom study
(Journal article; Peer reviewed, 2018)Background Iterative reconstruction techniques for reducing radiation dose and improving image quality in CT have proved to work differently for different patient sizes, dose levels, and anatomical areas. Purpose This ... -
Image recognition applied to condition assessment of wastewater manholes
(Bachelor thesis, 2019)Kummer er viktige komponenter i avløpssystemet. De gir tilgang til inspeksjon og vedlikehold av avløpsrør, imøtekommer alle geometriske endinger i systemet, og sørger for en praktisk utforming av ledningene. Sammenlignet ... -
Image recognition for groceries using deep learning
(Master thesis, 2020)I flere tiår har strekkoder vært brukt for å skanne og identifisere varer i dagligvarebutikker verden over, ettersom det er en lett og effektiv måte å registrere varene på i kassen. I daglivarebutikker derimot, selges det ...