Single-photon avalanche diodes (SPADs) are an emerging sensor technology capable of detecting individual incident photons, and capturing their time-of-arrival with high timing precision. While these sensors were limited to singlepixel or low-resolution devices in the past, recently, large (up 1 MPixel) SPAD arrays have been developed. These single-photon cameras (SPCs) high-speed sequences binary images no read noise. We present quanta burst photography, a computational photography technique...

Digital camera pixels measure image intensities by converting incident light energy into an analog electrical current, and then digitizing it a fixed-width binary representation. This direct measurement method, while conceptually simple, suffers from limited dynamic range poor performance under extreme illumination — electronic noise dominates low illumination, pixel full-well capacity results in saturation bright illumination. We propose novel intensity cue based on measuring inter-photon...

Abstract Glycated hemoglobin and blood oxygenation are the two most important factors for monitoring a patient’s average glucose oxygen levels. Digital volume pulse acquisition is convenient method, even person with no previous training or experience, can be utilized to estimate abovementioned physiological parameters. The basis assumptions develop two-finger models estimating percent glycated first model consists of blood-vessel-only hypothesis, whereas second based on whole-finger system....

Image distortion during multiple-exposure capture is a common scenario, and most of the existing legacy image content in low dynamic range (LDR). For both these problems, pseudo multiple exposure generation from single possible solution. Hence, this article, we propose novel method for high (HDR)-like by fusing pseudo-multi-exposure images that are produced only one image. The proposed pseudo-exposure based on intensity mapping function (IMF). First, our system learns relation between...

Despite being at the start of 21st-century, non-invasive measurement blood glucose still remains a challenging task in scientific world. In recent times, several studies have been carried out based on optical properties light to measure changes volume and tried calculate various physiological parameters including using PPG signal. our study, we try develop method for estimation by transmissive reflective signals subjects. We also hardware system collect PPG. proposed method, accurately...

Low dynamic range (LDR) image may contain low‐light and highlight areas due to the limitations of conventional sensors. Low‐light phenomena limit colour richness visibility objects in an image. Therefore, it can cause a reduction quality images loss accuracy application recognition. To overcome this, high (HDR)‐like have been developed with rich colours such as those seen by human eye. In this study, authors propose method obtain HDR‐like from single LDR removing specular component pixels...

Single-photon sensors measure light signals at the finest possible resolution — individual photons. These introduce two major challenges in form of strong Poisson noise and extremely large data acquisition rates, which are also inherited by downstream computer vision tasks. Previous work has largely focused on solving image reconstruction problem first then using off-the-shelf methods for tasks, but most general solutions that account motion costly not scalable to volumes produced...

Single-photon cameras (SPCs) are emerging as sensors of choice for various challenging imaging applications. One class SPCs based on the single-photon avalanche diode (SPAD) detects individual photons using an process; raw photon data can then be processed to extract scene information under extremely low light, high dynamic range, and rapid motion. Yet, sensitivity in SPADs comes at a cost -- each detection consumes more energy than that CMOS camera. This power significantly limits sensor...

The problem of vehicle licence plate re-identification is generally considered as a one-shot image retrieval problem. objective this task to learn feature representation (called "signature") for plates. Incoming images are converted signatures and matched previously collected template database through distance measure. Then, the input recognized whose signature "nearest" signature. restricted contain only single per unique our We measure performance deep convolutional net-based features...

Security and reconnaissance applications are prominent BCI paradigms which less complex sophisticated if there is no contamination in Electroencephalogram (EEG) signal. The better the quality of EEG signal ensures performance (better Information Transfer Rate (ITR), high Signal to Noise Ratio (SNR), Bandwidth (BW), so on) paradigms. Drowsiness one major that hampers operation modern In this research, a non-intrusive machine vision based concept used determine drowsiness from patient ensure...

Modern image sensors can acquire more data than previous due to increased bit depth. But storage devices and display do not support up that Alongside with this, produce or capture HDR images it is also important preserve the sensor native as much can. These intentions motivate introduction of log-encoding idea in imaging devices. Log-encoding saves well keeps roughly exact information from sensor. Different camera manufacturing companies developed their own log-curve color gamut for...

Single-photon avalanche diodes (SPADs) are an emerging sensor technology capable of detecting individual incident photons, and capturing their time-of-arrival with high timing precision. While these sensors were limited to single-pixel or low-resolution devices in the past, recently, large (up 1 MPixel) SPAD arrays have been developed. These single-photon cameras (SPCs) high-speed sequences binary images no read noise. We present quanta burst photography, a computational photography...

We consider the license plate re-identification task, treated here as a one-shot image retrieval problem. Our objective is to learn feature representation for images, such that single training of given (referred template image) sufficient perform nearest-neighbour with high accuracy at test time. Also, should ideally be generalisable across datasets and extractable in real-time on resource-constrained embedded hardware or moderately powerful cellphone.

From naval to aerospace and industry household, everywhere the necessity of aluminum is felt. But oxide film can be formed on this metal its alloys during casting or welding due high affinity for oxygen. This phenomenon further lead porosity which a vital defect. Visual inspection not sufficient different human constraints. So, many image processing techniques have been developed. For better welding, we propose here two useful efficient techniques. Unlike most previous techniques, our...

Abstract Glycated hemoglobin and blood oxygenation are the two most important factors for monitoring a patient’s oxygen levels in amount of average glucose levels. Digital Volume Pulse acquisition is convenient method, even person with no previous training or experience, can be utilized to estimate abovementioned physiological parameters. The basis assumptions develop two-finger models estimating percent glycated first model consists vessel only hypothesis, while second based on whole-finger...