Method for HDR-like imaging using industrial digital cameras

Popadić, Ilija; Todorović, Branislav M.; Reljin, Irini

doi:10.1007/s11042-016-3692-8

Cited by 12 publications

(4 citation statements)

References 9 publications

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“…Another application of the advantages of FPGA technology is reflected in the precise synchronization of data from the gyroscope with the image, which is necessary for the IMU stabilization algorithm. In addition to the above applications, FPGA can also be used for the dynamic range extension algorithm shown in [ 26 ]. A stable video link is established between the FPGA and the application processor, so that this channel, after booting the VVSP module, sends either an image from the camera or a test pattern.…”

Section: Description Of Vvsp Modulementioning

confidence: 99%

Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems

Latinović

Popadić²,

Tomic³

et al. 2022

Sensors

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In this paper, we present a hardware and software platform for signal processing (SPP) in long-range, multi-spectral, electro-optical systems (MSEOS). Such systems integrate various cameras such as lowlight color, medium or long-wave-infrared thermal and short-wave-infrared cameras together with other sensors such as laser range finders, radars, GPS receivers, etc. on rotational pan-tilt positioner platforms. An SPP is designed with the main goal to control all components of an MSEOS and execute complex signal processing algorithms such as video stabilization, artificial intelligence-based target detection, target tracking, video enhancement, target illumination, multi-sensory image fusion, etc. Such algorithms might be very computationally demanding, so an SPP enables them to run by splitting processing tasks between a field-programmable gate array (FPGA) unit, a multicore microprocessor (MCuP) and a graphic processing unit (GPU). Additionally, multiple SPPs can be linked together via an internal Gbps Ethernet-based network to balance the processing load. A detailed description of the SPP system and experimental results of workloads for typical algorithms on demonstrational MSEOS are given. Finally, we give remarks regarding upgrading SPPs as novel FPGAs, MCuPs and GPUs become available.

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Section: Description Of Vvsp Modulementioning

confidence: 99%

Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems

Latinović

Popadić²,

Tomic³

et al. 2022

Sensors

Self Cite

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“…It will detect smaller amount of light sources even in darker areas. But the picture might saturate in bright parts of the scene due to a too much [35]. (images from [68]).…”

Section: Hdr Mergementioning

confidence: 99%

“…Figure 2.3: HDR Imaging: Using a camera response curve the full dynamic range of the scene is captured from a set of LDR images with different exposure times. Algorithms like Popadic et al's can directly generate HDRlike images from bracketed images[35]. (images from[68]).…”

mentioning

confidence: 99%

Real-time Tone Mapping: A State of the Art Report

Ou,

Ambalathankandy,

Ikebe

et al. 2020

Preprint

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The rising demand for high quality display has ensued active research in high dynamic range (HDR) imaging, which has the potential to replace the standard dynamic range imaging. This is due to HDR's features like accurate reproducibility of a scene with its entire spectrum of visible lighting and color depth. But this capability comes with expensive capture, display, storage and distribution resource requirements. Also, display of HDR images/video content on an ordinary display device with limited dynamic range requires some form of adaptation. Many adaptation algorithms, widely known as tone mapping operators, have been studied and proposed in the last few decades. In this state of the art report, we present a comprehensive survey of 50+ tone mapping algorithms that have been implemented on hardware for acceleration and real-time performance. These algorithms have been adapted or redesigned to make them hardware-friendly. This effort leads to various design challenges that are encountered during the hardware development. Any real-time application poses strict timing constraints which requires time exact processing of the algorithm. Also, most of the embedded systems would have limited system resources in terms of battery, computational power and memory resources. These design challenges require novel solutions, and in this report we focus on these issues.In this we survey will discuss those tonemap algorithms which have been implemented on GPU [1-10], FPGA , and ASIC [42][43][44][45][46][47][48][49][50][51][52][53] in terms of their hardware specifications and performance. Output image quality is an important metric for tonemap algorithms. From our literature survey we found that, various objective quality metrics have been used to demonstrate the functionality of adapting the algorithm on hardware platform. We have compiled and studied all the metrics used in this survey [54][55][56][57][58][59][60][61][62][63][64][65][66][67]. Finally, in this report we demonstrate the link between hardware cost and image quality thereby illustrating the underlying trade-off. This report concludes with a discussion on the general future research directions based-on various hardware design/implementation bottlenecks which will be useful for the research community.

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“…Many approaches proposed to capture the image with the proper dynamic range and some methods measure luminance to capture the HDR image [6]. The basic method is to capture the image simultaneously with the different exposure and then irradiance spatial dimensions of the same scenario [7].…”

Section: Introductionmentioning

confidence: 99%

Model for High Dynamic Range Imaging System Using Hybrid Feature Based Exposure Fusion

Kiran

Kumari

Raju

2020

Journal of Intelligent Systems

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The luminous value is high for many natural scenes, which causes loss of information and occurs in dark images. The High Dynamic Range (HDR) technique captures the same objects or scene for multiple times in different exposure and produces the images with proper illumination. This technique is used in the various applications such as medical imaging and observing the skylight, etc. HDR imaging techniques usually have the issue of lower efficiency due to capturing of multiple photos. In this paper, an efficient method is proposed for HDR imaging technique to achieve better performance and lower noise. The Luminance-Chrominance-Gradient High Dynamic Range (LCGHDR) method is proposed to obtain the proper luminous value of images. The same scenario is captured at different exposure are processed by the proposed method. Based on these feature values extracted from the different images and exposure fusion technique was developed that helps for the proper imaging. This experiment was evaluated and analyzed by comparing with the other methods, which showed the efficiency of the proposed method. This method needs only 124.594 seconds for the computation, while existing method need 139.869 seconds for the same number of images.

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Method for HDR-like imaging using industrial digital cameras

Cited by 12 publications

References 9 publications

Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems

Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems

Real-time Tone Mapping: A State of the Art Report

Model for High Dynamic Range Imaging System Using Hybrid Feature Based Exposure Fusion

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