Sökning: "raw image processing"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden raw image processing.

1. 1. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Manaswini Chethireddy; Sai Teja Palla; [2023]
   Nyckelord :Deep Learning Methods; Handwritten digits; Digit Detection; Image processing on document images; YOLOV5; Faster R-CNN; RetinaNet; YOLOV7;

   Sammanfattning : Background: Historical handwritten documents are assets for future generations and should be appropriately secured, so handwritten digit detection plays an important role to preserve them. Handwritten digit detection is a fundamental problem and has been studied extensively for many years. LÄS MER

3. 2. Camera ISP optimization for computer vision tasks performed by deep neural networks

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

   Författare :Zhenghong Xiao; [2023]
   Nyckelord :Computer Vision; Image Signal Processing; DNN; Datorseende; bildsignalbehandling; DNN;

   Sammanfattning : This thesis aims to improve the performance of Deep Neural Networkss (DNNs) in Computer Vision tasks by optimizing the Image Signal Processor (ISP) parameters. The research investigates the use of simulated RAW images and the application of the DRL-ISP (Deep Reinforcement Learning for Image Signal Processor) method to enhance the accuracy and robustness of DNNs. LÄS MER

4. 3. Region-based analysis of magnetic resonance brain images: integrating statistical analysis and visualization

   Master-uppsats,

   Författare :Yu-Ping Hsu; [2022-04-05]
   Nyckelord :Medical physics; Neuroimage; Brain segmentation; Statistical analysis; Visualization;

   Sammanfattning : Purpose: The purpose of the project was to develop a processing toolchain that takes MR brain images and their anatomical segmentations as input and produces image visualizations, data visualizations, and statistical analyses in a unified manner for the users who work with neuroimaging and quantitative brain anatomy, including pathological anatomy. A secondary aim was to package and release the software publicly as open source. LÄS MER

5. 4. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Mika Persson; [2022]
   Nyckelord :Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

   Sammanfattning : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. LÄS MER

7. 5. Development of a Level-0 Geoprocessing Platform for a Multispectral Remote Sensing Payload

   Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

   Författare :Sergio Santiago Bernabeu Peñalba; [2022]
   Nyckelord :Infrared imagery; VIS; NIR; LWIR; geoprocessor; geolocation; quaternions; Aistech Space; image processing; ORB; RANSAC; Sentinel; Landsat; Infraröda bilder; VIS; NIR; LWIR; geoprocessor; geolokalisering; kvarternioner; Aistech Space; bildbehandling; ORB; RANSAC; Sentinel; Landsat;

   Sammanfattning : This thesis presented an overview of the development of a geolocating algorithm as part of a geoprocessor for raw satellite imagery. This algorithm was devised for and limited by the specifications of a state-of-the-art multispectral telescope designed by Aistech Space, hosted onboard the Guardian spacecraft, which will observe Earth through the visible, near infrared, and thermal infrared bands of the electromagnetic spectrum. LÄS MER