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Cameras embedded in consumer devices have previously been used as physiological information sensors. The waveform of the photoplethysmographic image (PPGi) signals may be significantly affected by the light spectra and intensity. The purpose of this paper is to evaluate the performance of PPGi waveform acquisition in the red, green, and blue channels using a commercial camera in different light co...Show More
Due to the rapidly growing interest in energy harvesting from indoor ambient lighting for the powering of Internet-of-things devices, accurate methods for measurements of the current versus voltage characteristics of light-harvesting solar photovoltaic devices must be established and disseminated. A key requirement when conducting such characterizations is to create and measure the irradiance from...Show More
In the last decades, lots of research have been performed with the purpose of obtaining solar cells with improved properties, and for extending their use in energy harvesting (EH) applications. In this paper, we designed and simulated two different solar cells, one based on organic materials and the other on amorphous silicon (a-Si), each in two different light intensity conditions (corresponding ...Show More
Significant performance and reliability improvements made in light emitting diode (LED) technology have enabled LED-based fittings to be used in place of traditional lighting solutions such as high intensity discharge (HID) and fluorescent sources. This paper details the advantages and disadvantages of LED fittings against traditional fittings as well as other `long life' lighting technologies. Th...Show More
The chlL gene encoding one component of light-independent (dark) protochlorophyllide oxido reductase (DPOR) was deleted in cyanobacterium Synechocystis sp. PCC 6803 (S.6803). The resulting chlL− mutant lost DPOR activity. No significant differences of chlorophyll (Chi) content and growth rate were observed between the wild and the mutant strains grown at 50 μE · m−2 · S−1 light intensity for photo...Show More
Low-light image enhancement is a critical task that is essential for improving image quality and performance. In this paper, we rethink the low-light image enhancement task and propose a physically interpretable decomposition diffusion model for low-light image enhancement called Illuminance-Diffusion. Based on retinex theory as well as convolutional neural networks, we have designed an innovative...Show More

You Only Look Once in Dark: An Analytical Approach for Low Light Object Detection

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2024 IEEE International Symposium on Smart Electronic Systems (iSES)
Year: 2024 | Conference Paper |
In recent decades, object detection has been one of the most significant areas of research, which enables an autonomous machine to make intelligent decisions without any human intervention. Low-light object detection faces numerous challenges including noise, granules, and ambiguity in no or limited color information. Single Shot Detectors (SSD), especially, You-Only-Look-Once (YOLO) one of the la...Show More

You Only Look Once in Dark: An Analytical Approach for Low Light Object Detection

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Year: 2024 | Conference Paper |
Insulator defect detection has always been one of the important tasks of transmission line state detection and operation and maintenance. Nowadays, insulator defect detection based on universal data sets has achieved very impressive results. However, the requirements of existing detection systems for data sets remain in the normal light, and the corresponding work has not been carried out for insu...Show More
This paper proposes a low-light image enhancement technology for complex optical environments, which improves imaging quality in low-light conditions through three main designs: strong light suppression, image enhancement processing, and infrared supplementary lighting. These techniques achieve night vision image enhancement and restoration, maximizing the reproduction of the target object, and im...Show More
Face recognition performance is greatly influenced by the lighting conditions on the face images. Generally, to solve the problem caused by this lighting factor, the illumination normalization process is carried out at the preprocessing stage through contrast adjustment of face images. One of the contrast adjustment techniques is Contrast-limited AHE. In many cases, this technique performs well fo...Show More
In this paper, we propose a novel approach to achieve our goal of implementing object detection under low-light conditions by incorporating several innovative components. First, we design a new feature fusion unit that enables semantic features to better align with target inspection characteristics. Second, we introduce a novel low-light enhancement encoder unit to augment the semantic features of...Show More
Energy consumption through lighting around the world is an arising issue looking to be solved. Lighting accounts for 15% of the global electricity consumption and 5% of worldwide greenhouse gas emissions [1]. This paper focuses on studying the energy consumption of the Compact Fluorescent Lights (CFL) employed in an educational labrotory in the Heriot Watt University Dubai Campus. The study takes ...Show More
Low-light image enhancement is one of the most challenging tasks in computer vision. Traditional unsupervised learning methods typically use an image-to-image transformation model to solve low-light image enhancement problems but are unable to suppress the noise prevalent in images captured in real-world low-light conditions. In order to solve a series of degradation problems such as low brightnes...Show More

Life of LED-based white light sources

N. Narendran;Y. Gu

Journal of Display Technology
Year: 2005 | Volume: 1, Issue: 1 | Journal Article |
Cited by: Papers (579)
Even though light-emitting diodes (LEDs) may have a very long life, poorly designed LED lighting systems can experience a short life. Because heat at the p-n-junction is one of the main factors that affect the life of the LED, by knowing the relationship between life and heat, LED system manufacturers can design and build long-lasting systems. In this study, several white LEDs from the same manufa...Show More

Life of LED-based white light sources

N. Narendran;Y. Gu

Year: 2005 | Volume: 1, Issue: 1 | Journal Article |
We report the object-recognition performance of VGG16, ResNet, and SqueezeNet, three state-of-the-art Convolutional Neural Networks (CNNs) trained on ImageNet, across 15 different lighting conditions using the Phos dataset and a ResNet-like network trained on Pascal VOC on the ExDark dataset. The instabilities in the normalized softmax values are used to highlight that pre-trained networks are not...Show More
In low-light environments, conventional object detection methods often suffer from poor performance and low accuracy. To address these challenges, this paper proposes a novel object detection method that combines low-light enhancement with visible-infrared fusion. By innovatively integrating infrared spectrum images into the object detection process and incorporating a dedicated low-light enhancem...Show More
Face recognition plays an important role in identifying an individual person. However, lighting conditions, especially low light intensity, are a serious problem which affects the recognition accuracy. The existing method is insufficiently accurate. Therefore, a stationary wavelet-based adaptive face transform (SWAFT) is proposed to extract features which are robust to lighting conditions for face...Show More
Usually, limited information is available for enhancing low light images. We propose that presence of interactions between superposed luminance levels be exploited to draw reliable information for the enhancement. Grover's algorithm implements the interaction resulting in information passing between luminance levels, following which a noise-resilient transformation is employed. Qualitative and qua...Show More
This image enhancement on a single image for better visibility and higher SNR (signal-to-noise ratio) is an under-constrained problem, which becomes more challenging as this image is under the low-light condition. In order to solve the above problems, we firstly analyze the reason that classical Retinex enhancement result has low SNR due to ignoring the influence of noise in reflectance. To this e...Show More
When taking pictures in low light, affected by the limited and low light of the shooting equipment, the pictures taken usually have color distortion, low brightness, low contrast, large noise and other problems that will affect the visual effect. In order to solve the problem of images in low light environment, an adaptive Gamma-RNet algorithm is proposed by combining adaptive Gamma transform[1] w...Show More
This paper presents a gray box model of a photovoltaic (PV) cell working under low illuminance artificial indoor lighting conditions. A mathematical model of PV cells with single and two diode configuration is used. Additionally a platform for the measurement of the PV cells within the indoor environment is presented. An optimization problem is formulated to tune the internal parameters of the mat...Show More
Visual based robot perception methods are usually based on the assumption of normal lighting, so when deployed in low-light environments, they may fail to perceive and even cause serious errors. To address the issue of visual perception failure caused by low lighting, we propose a low-light image enhancement method based on histogram priors. This method is achieved by training an unsupervised gene...Show More
In recent years, there has been a growing interest in measurements of photovoltaic solar cells under ambient artificial lighting such as light emitting diode (LED) or fluorescent light sources. Certain classes of solar cells are considered very good candidates for energy harvesting from mostly visible ambient lighting for the purpose of powering internet-of-things devices. However, measurements of...Show More
Images captured under low-light conditions are generally characterized by poor illumination, low contrast, and nonignorable large amount of noise. In order to improve the visibility in weak illumination scenes, multiple artificial light sources are used, which leads to severe uneven illumination of the scene. The main challenges of dehazing images with complex illumination are to suppress the boos...Show More
The development of bidirectional light emitting diodes (LEDs) is significant to avoid stroboscopic effects and save energy for illumination and display applications. However, the existing bidirectional LEDs present different electroluminescent (EL) emission spectra and intensity at forward and reverse bias conditions which causes stroboscopic effects. Herein, A symmetrical bi-heterojunctional n-Zn...Show More

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