Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Real Time FPGA Implementation of Super Resolution for Infrared Cameras
Date
2015-08-24
Author
AKTUKMAK, Mehmet
Halıcı, Uğur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
190
views
0
downloads
Cite This
At present, the quality of image taken from infrared cameras is low compared to the other cameras because of manufacturing technology. Therefore, resolution enhancement processes are becoming more important for these cameras. Super resolution is a good approach to solve this resolution problem. In general, the systems that infrared cameras used require video processing to perform in real time. So, a suitable approach should be selected and implemented to work in real time. The computational load and processing time are big issues in this case. FPGAs are proven to be appropriate hardware devices for these types of works. Super resolution involves two parts as global motion estimation and high resolution image reconstruction. In this study, one suitable algorithm, namely as Projection Method (PM) is selected for global motion estimation. On the other hand, for high resolution image reconstruction part, Least Mean Square (LMS) algorithm is found to be suitable for real time implementation.
Subject Keywords
Infrared camera
,
Real time
,
FPGA implementation
,
Super resolution
URI
https://hdl.handle.net/11511/54250
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
FPGA implementation of real time digital video super resolution for infrared cameras
Aktukmak, Mehmet; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2013)
At present, the quality of image taken from infrared cameras is low compared to the other cameras because of manufacturing technology. So, resolution enhancement processes are becoming more important for these cameras. Super resolution is a good approach to solve this resolution problem. In general, the systems that infrared cameras used require video processing to perform in real time. So, a suitable approach should be selected and implemented to work in real time. The computational load and processing tim...
Real-time FPGA firmware for VGA resolution infrared camera
Çevik, Kami; Akın, Tayfun; Department of Electrical and Electronics Engineering (2019)
Infrared cameras generally require pre-processing on raw image data in order to improve the output image quality. Raw output of the infrared cameras occupies a narrow part of the available dynamic range. Contrast enhancement is one of the pre-processing operations and used for improving dynamic range of the low contrast images. This thesis proposes an adaptive histogram equalization method for enhancing the contrast of long wavelength infrared camera output with 640×480 resolution and provides a FPGA implem...
Real-time single frame superresolution
Tarhan, Cem; Akar, Gözde; Department of Electrical and Electronics Engineering (2014)
A demand in real-time applications for superresolution increases as the surveillance and low resolution camera usage is spread for cost optimization. In this thesis two real-time superresolution algorithms have been proposed. The first algorithm (NDUID) is composed of non-dyadic upsampling cascade for smooth interpolation and an edge enhancement block that uses a non-blind deconvolution. Second algorithm (EDAT) starts with Total Variation decomposition. The structure component is interpolated with a fast ed...
Radiometric Camera Calibration of BiLSAT Small Satellite: Preliminary Results
Frıedrıch, Jurgen; Leloğlu, Uğur Murat; Tunalı, Erol (2006-02-16)
The studies on radiometric camera calibration of multispectral camera of the BiLSAT satellite is presented in this work. During the study, various dark images and flat-field images have been taken, and deviations from ideal has been investigated. Various sources of error have been studied and the non-homogeneous response of the CCD is explicitly modeled. Images have been corrected according to the models and the results have been discussed.
DESIGN STEPS TO TEMPERATURE AND PRESSURE INSENSITIVE OPTICAL SYSTEMS FOR DIGITAL AERIAL IMAGING
Yilmaz, O.; Selimoglu, O.; Ucar, B.; Sengul, O. (2010-10-13)
Imaging from air has evolved from film cameras to digital cameras over the last years. Here we give the design steps of an aerial objective lens for a given CCD sensor. Matching to the pixel pitch of the sensor and providing desired field of view according to CCD size are traditional steps. Besides these, to minimize the environmental effects, design should be insensitive to the temperature and pressure as much as possible. Performance of a lens, designed at room temperature and pressure will be degraded if...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. AKTUKMAK and U. Halıcı, “Real Time FPGA Implementation of Super Resolution for Infrared Cameras,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54250.