scholarly journals Real Time Non uniformity Correction Algorithm and Implementation in Reconfigurable Architecture for Infra red Imaging Systems

2019 ◽  
Vol 69 (2) ◽  
pp. 179-184
Author(s):  
Sudhir Khare ◽  
Manvendra Singh ◽  
Brajesh Kumar Kaushik
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Imaging Systems ◽  
Thermal Imager ◽  
Correction Algorithm ◽  
Large Format ◽  
Ir Imaging ◽  
Pattern Noise ◽  
Infra Red ◽  
Fixed Pattern Noise

 In modern electro-optical systems, infra-red (IR) imaging system is an essential sensor used for day and night surveillance. In recent years, advancements in IR sensor technology resulted the detectors having smaller pitch, better thermal sensitivity with large format like 640.512, 1024.768 and 1280.1024. Large format IR detectors enables realisation of high resolution compact thermal imager having wide field-of view coverage. However, the performance of these infrared imaging systems gets limited by non uniformity produced by sensing element, which is temporal in nature and present in spatial domain. This non uniformity results the fixed pattern noise, which arises due to variation in gain and offset components of the each pixel of the sensor even when exposed to a uniform scene. This fixed pattern noise limits the temperature resolution capability of the IR imaging system thereby causing the degradation in system performance. Therefore, it is necessary to correct the non-uniformities in real time. In this paper, non uniformity correction algorithm and its implementation in reconfigurable architectures have been presented and results on real time data have been described.

Development of Real Time High Energy X-Ray Imaging System for Use in Dynamic Fluoroscopy of Aero Gas Turbines

1975 ◽  
Author(s):  
A. E. Stewart
Keyword(s):  
Real Time ◽  
Gas Turbines ◽  
Imaging System ◽  
High Energy ◽  
Cesium Iodide ◽  
Imaging Systems ◽  
X Ray ◽  
X Ray Imaging ◽  
Different Types

This paper discusses the development of a real-time high energy x-ray imaging system for use in dynamic fluoroscopy of aero gas turbines. In order to cover the range of subjects on gas turbines, over ten combinations of film and screen types are used. Three different types of x-ray imaging systems were considered for use: direct type intensifiers (cesium iodide phosphors), and indirect type intensifiers — Marconi “Marionette” and the Oude Delft “Delcalix.”

scholarly journals Infrared light field imaging system free of fixed-pattern noise

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Pablo A. Coelho ◽  
Jorge E. Tapia ◽  
Francisco Pérez ◽  
Sergio N. Torres ◽  
Carlos Saavedra
Keyword(s):  
Light Field ◽  
Imaging System ◽  
Infrared Light ◽  
Pattern Noise ◽  
Fixed Pattern Noise ◽  
Light Field Imaging ◽  
Field Imaging

scholarly journals Improved detector performance rendering in the optical spectral ranges to provide accurate image.

2019 ◽  
Vol 29 (4) ◽  
pp. 106
Author(s):  
Basaad Hadi Hamza
Keyword(s):  
Thermal Imaging ◽  
Imaging System ◽  
Imaging Systems ◽  
Sensor Systems ◽  
Thermal Detector ◽  
Detector Performance ◽  
Long Wavelength ◽  
Ir Imaging ◽  
Thermal Imaging System ◽  
Spectral Ranges

Modern sensor systems have complex sensor assemblies with performance depending on variety of factors. An algorithm presented in this work to provide accurate image rendering in the optical spectral ranges of IR imaging systems. From the images output notice that in long wavelength bandwidth of IR (8-12) µm the image was more clarity without noise. This mean S/N ratio and the Efficiency of detector is bigger than band (1-3) µm. Recommend that this method can be used to improve the performance of the thermal detector which uses in thermal imaging system in any package of wavelength. This algorithm can be store as a code in the cart storage of IR imaging system.

scholarly journals Towards clinical photoacoustic and ultrasound imaging: Probe improvement and real-time graphical user interface

2020 ◽  
Vol 245 (4) ◽  
pp. 321-329 ◽  
Author(s):  
Jeesu Kim ◽  
Eun-Yeong Park ◽  
Byullee Park ◽  
Wonseok Choi ◽  
Ki J Lee ◽  
...  
Keyword(s):  
User Interface ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Graphical User Interface ◽  
Imaging System ◽  
Photoacoustic Imaging ◽  
Clinical Applications ◽  
Imaging Systems ◽  
Imaging Probe ◽  
Conventional Ultrasound

Photoacoustic imaging is a non-invasive and non-ionizing biomedical technique that has been investigated widely for various clinical applications. By taking the advantages of conventional ultrasound imaging, hand-held operation with a linear array transducer should be favorable for successful clinical translation of photoacoustic imaging. In this paper, we present new key updates contributed to the previously developed real-time clinical photoacoustic and ultrasound imaging system for improving the clinical usability of the system. We developed a seamless image optimization platform, designed a real-time parameter control software with a user-friendly graphical user interface, performed Monte Carlo simulation of the optical fluence in the imaging plane, and optimized the geometry of the imaging probe. The updated system allows optimizing of all imaging parameters while continuously acquiring the photoacoustic and ultrasound images in real-time. The updated system has great potential to be used in a variety of clinical applications such as assessing the malignancy of thyroid cancer, breast cancer, and melanoma. Impact statement Photoacoustic imaging is a promising biomedical imaging modality that can visualize both structural and functional information of biological tissue. Because of its easiness to be integrated with conventional ultrasound imaging systems, numerous studies have been conducted to develop and apply clinical photoacoustic imaging systems. However, most of the systems were not suitable for general-purpose clinical applications due to one of the following reasons: target specific design, immobility, inaccessible operation sequence, and lack of hand-held operation. This study demonstrates a real-time clinical photoacoustic and ultrasound imaging system, which can overcome the limitations of the previous systems for successful clinical translation.

Wavefront Coded Imaging Systems for MEMS Analysis

2002 ◽  
Author(s):  
Daniel L. Barton ◽  
Jeremy A. Walraven ◽  
Edward R. Dowski ◽  
Rainer Danz ◽  
Andreas Faulstich ◽  
...  
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
High Performance ◽  
Imaging System ◽  
Three Dimensional ◽  
Imaging Systems ◽  
Depth Of Field ◽  
Real Time Imaging ◽  
Large Depth ◽  
Wavefront Coding

Abstract A new imaging technique called Wavefront Coding allows real-time imaging of three-dimensional structures over a very large depth. Wavefront Coding systems combine aspheric optics and signal processing to achieve depth of fields ten or more times greater than that possible with traditional imaging systems. Understanding the relationships between traditional and modern imaging system design through Wavefront Coding is very challenging. In high performance imaging systems nearly all aspects of the system that could reduce image quality are carefully controlled. Modifying the optics and using signal processing can increase the amount of image information that can be recorded by microscopes. For a number of applications this increase in information can allow a single image to be used where a number of images taken at different object planes had been used before. Having very large depth of field and real-time imaging capability means that very deep structures such as surface micromachined MEMS can be clearly imaged with one image, greatly simplifying defect and failure analysis.

Noise in imaging systems: fixed pattern noise, electronic, and interference noise

2004 ◽  
Author(s):  
Jose M. Lopez-Alonso ◽  
Ruben Gonzalez-Moreno ◽  
Javier Alda
Keyword(s):  
Imaging Systems ◽  
Interference Noise ◽  
Pattern Noise ◽  
Fixed Pattern Noise

scholarly journals Intraoperative biophotonic imaging systems for image-guided interventions

Nanophotonics ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 99-116 ◽  
Author(s):  
Salar Sajedi ◽  
Hamid Sabet ◽  
Hak Soo Choi
Keyword(s):  
Real Time ◽  
Near Infrared ◽  
Imaging System ◽  
Nuclear Imaging ◽  
Imaging Systems ◽  
Quantitative Detection ◽  
Depth Information ◽  
Image Guided ◽  
Nir Fluorescence ◽  
Biophotonic Imaging

AbstractBiophotonic imaging has revolutionized the operation room by providing surgeons intraoperative image-guidance to diagnose tumors more efficiently and to resect tumors with real-time image navigation. Among many medical imaging modalities, near-infrared (NIR) light is ideal for image-guided surgery because it penetrates relatively deeply into living tissue, while nuclear imaging provides quantitative and unlimited depth information. It is therefore ideal to develop an integrated imaging system by combining NIR fluorescence and gamma-positron imaging to provide surgeons with highly sensitive and quantitative detection of diseases, such as cancer, in real-time without changing the look of the surgical field. The focus of this review is to provide recent progress in intraoperative biophotonic imaging systems, NIR fluorescence imaging and intraoperative nuclear imaging devices, and their future perspectives for image-guided interventions.

Advancements in infrared imaging platforms: complementary imaging systems and contrast agents

2017 ◽  
Vol 5 (23) ◽  
pp. 4266-4275 ◽  
Author(s):  
Xinyu Zhao ◽  
Shuqing He ◽  
Mei Chee Tan
Keyword(s):  
Contrast Agents ◽  
Fluorescence Imaging ◽  
Infrared Imaging ◽  
Imaging System ◽  
Physical Characteristics ◽  
Imaging Systems ◽  
Ir Imaging

Recent advancements in the design of complementary infrared (IR) fluorescence imaging systems and IR-emitting contrast agents are highlighted. The ability to maximize the full performance of any IR imaging platform relies on the thorough understanding of the requirements of the imaging system and physical characteristics of the complementary contrast agents.

Thermal imager fixed pattern noise prediction using a characterization of the infrared detector

2014 ◽  
Vol 53 (12) ◽  
pp. 124106 ◽  
Author(s):  
Paolo Mariani ◽  
Stefano Zatti ◽  
Claudio Giunti ◽  
Barbara Sozzi ◽  
Emanuele Guadagnoli ◽  
...  
Keyword(s):  
Infrared Detector ◽  
Thermal Imager ◽  
Noise Prediction ◽  
Pattern Noise ◽  
Fixed Pattern Noise
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