Document Details

Document Type : Thesis 
Document Title :
PERFORMANCE EVALUATION FOR NON-UNIFORMITY CORRECTION (NUC) USING SCENE-BASED TECHNIQUES FOR INFRARED (IR) IMAGES
تقييم أداء تقنيات تصحيح عدم التجانس بالاعتماد على تحليل المشاهد للصور الحرارية
 
Subject : Faculty of Engineering 
Document Language : Arabic 
Abstract : Infrared focal plane array (IRFPA) is a bi-dimensional array of microscaled infrared detectors which become essential sensing devices in a wide range of applications. Due to the need for mobility and power saving, new uncooled IRFPA’s have become more suitable to substitute cooled IRFPA in many applications that require lighter weight and lower power consumption. Electronic Designers aim to reduce power consumption by integrating circuits inside high-density chips, invent new solid state components which consume less power and eliminate excess components when they are rare to use. At present, Thermal IRFPA (uncooled IRFPA) detectors became more suitable to replace quantum IRFPA (cooled IRFPA) in many applications due to its competitive features of power consumption, cost, and weight. Obviously, Quantum detectors have great features especially for long range detections and astronomy applications, but current development in uncooled thermal detectors put them in the circle of interest because they offer pixel size, resolution and response time much closer to quantum detectors. The researcher at this thesis did a deep research beyond the digital side of image processing and found out many areas of research that can improve the performance of the infrared system when reengineering underneath layers instead of postponed the complexity to the digital side of design. Researchers have developed a technique to transmit the calibration data over the composite video line instead of using the fast digital links like Gig-Ethernet or USB which saves more power, PCB space and memory when eliminating the digital link components from the board. This new technique proposes manipulating the bit arrangements at video processing unit to solve major issues like noise, clipping, and pixel resolution. In another paper, researchers developed a novel technique to detect blind pixels automatically without the need for lab calibration. In the third paper, the researchers studied the process of contrast correction and they developed a technique to solve contrast miss matching between DFOV. All classical digital contrast-processing algorithms require post-processing routines that consume the time and resources, or in extreme situations, the system has to offer a manual adjusting feature which is a very slow and disturbing solution. The solution proposes a novel technique to perform the contrast correction rapidly, during the switching period between Dual fields of view. 
Supervisor : Dr. Ahmed Abbas Adas 
Thesis Type : Doctorate Thesis 
Publishing Year : 1439 AH
2018 AD 
Added Date : Wednesday, May 30, 2018 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
عبدالعزيز محمد الغامديAlGhamdi, ABDULAZIZ MohammedResearcherDoctorate 

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 43422.pdf pdf 

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