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Imaging in low light is difficult because the number of photons arriving at the sensor is low. Imaging dynamic scenes in low-light environments is even more difficult because as the scene moves, pixels in adjacent frames need to be aligned…

Image and Video Processing · Electrical Eng. & Systems 2020-07-20 Yiheng Chi , Abhiram Gnanasambandam , Vladlen Koltun , Stanley H. Chan

Quanta Image Sensor (QIS) is a single-photon detector designed for extremely low light imaging conditions. Majority of the existing QIS prototypes are monochrome based on single-photon avalanche diodes (SPAD). Passive color imaging has not…

Computer Vision and Pattern Recognition · Computer Science 2019-06-26 Abhiram Gnanasambandam , Omar Elgendy , Jiaju Ma , and Stanley H. Chan

The one-bit quanta image sensor (QIS) is a photon-counting device that captures image intensities using binary bits. Assuming that the analog voltage generated at the floating diffusion of the photodiode follows a Poisson-Gaussian…

Image and Video Processing · Electrical Eng. & Systems 2022-08-23 Stanley H. Chan

High dynamic range (HDR) imaging is one of the biggest achievements in modern photography. Traditional solutions to HDR imaging are designed for and applied to CMOS image sensors (CIS). However, the mainstream one-micron CIS cameras today…

Image and Video Processing · Electrical Eng. & Systems 2020-12-04 Abhiram Gnanasambandam , Stanley H. Chan

Image classification is a core task of intelligent sensing, conventionally follows a sequential imaging then processing pipeline. However, redundant high-dimensional image reconstruction is inherently inefficient, especially in photon…

Quantum Image Processing (QIP) is a field that aims to utilize the benefits of quantum computing for manipulating and analyzing images. However, QIP faces two challenges: the limitation of qubits and the presence of noise in a quantum…

Quantum Physics · Physics 2024-09-27 Yifan Zhou , Yan Shing Liang

Raw images taken in low-light conditions are very noisy due to low photon count and sensor noise. Learning-based denoisers have the potential to reconstruct high-quality images. For training, however, these denoisers require large paired…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Liying Lu , Raphaël Achddou , Sabine Süsstrunk

We experimentally demonstrate an imaging technique based on quantum noise modification after interaction with an opaque object. By using a homodyne-like detection scheme, we eliminate the detrimental effect of the camera's dark noise,…

The contrast of an image can be degraded by the presence of background light and sensor noise. To overcome this degradation, quantum illumination protocols have been theorised (Science 321 (2008), Physics Review Letters 101 (2008)) that…

Quantum Physics · Physics 2021-09-21 Thomas Gregory , Paul-Antoine Moreau , Ermes Toninelli , Miles J. Padgett

The quantum noise of light fundamentally limits optical phase sensors. A semiclassical picture attributes this noise to the random arrival time of photons from a coherent light source such as a laser. An engineered source of squeezed states…

Quanta image sensor (QIS) is envisioned to be the next generation image sensor after CCD and CMOS. In this paper, we discuss how to design color filter arrays for QIS and other small pixels. Designing color filter arrays for small pixels is…

Computer Vision and Pattern Recognition · Computer Science 2019-12-23 Omar A. Elgendy , Stanley H. Chan

Enhancing the visibility in extreme low-light environments is a challenging task. Under nearly lightless condition, existing image denoising methods could easily break down due to significantly low SNR. In this paper, we systematically…

Image and Video Processing · Electrical Eng. & Systems 2021-08-05 Kaixuan Wei , Ying Fu , Yinqiang Zheng , Jiaolong Yang

Imaging with quantum states of light promises advantages over classical approaches in terms of resolution, signal-to-noise ratio and sensitivity. However, quantum detectors are particularly sensitive sources of classical noise that can…

Quantum Physics · Physics 2019-07-16 Hugo Defienne , Matthew Reichert , Jason W Fleischer , Daniele Faccio

Imaging under photon-scarce situations introduces challenges to many applications as the captured images are with low signal-to-noise ratio and poor luminance. In this paper, we investigate the raw image restoration under low-photon-count…

Image and Video Processing · Electrical Eng. & Systems 2021-11-03 Shansi Zhang , Edmund Y. Lam

Existing instance segmentation techniques are primarily tailored for high-visibility inputs, but their performance significantly deteriorates in extremely low-light environments. In this work, we take a deep look at instance segmentation in…

Computer Vision and Pattern Recognition · Computer Science 2023-09-12 Linwei Chen , Ying Fu , Kaixuan Wei , Dezhi Zheng , Felix Heide

Recently quanta image sensors (QIS) -- ultra-fast, zero-read-noise binary image sensors -- have demonstrated remarkable imaging capabilities in many challenging scenarios. Despite their potential, the adoption of these sensors is severely…

Image and Video Processing · Electrical Eng. & Systems 2024-06-04 Tianyi Zhang , Matthew Dutson , Vivek Boominathan , Mohit Gupta , Ashok Veeraraghavan

In this work a quantum imaging setup based on undetected squeezed photons is employed for metrological applications such as sensitive phase measurement and quantum imaging. In spite of the traditional quantum imaging with undetected…

Quantum Physics · Physics 2025-06-10 S. Samimi , Z. Ghasemi , H. Mohammadi

It is thought that schemes for quantum imaging are fragile against realistic environments in which the background noise is often stronger than the nonclassical signal of the imaging photons. Unfortunately, it is unfeasible to produce…

Quanta Image Sensor (QIS) is a binary imaging device envisioned to be the next generation image sensor after CCD and CMOS. Equipped with a massive number of single photon detectors, the sensor has a threshold $q$ above which the number of…

Computer Vision and Pattern Recognition · Computer Science 2019-03-22 Omar A. Elgendy , Stanley H. Chan

The applications of automotive cameras in Advanced Driver-Assistance Systems (ADAS) are growing rapidly as automotive manufacturers strive to provide 360 degree protection for their customers. Vision systems must capture high quality images…

Image and Video Processing · Electrical Eng. & Systems 2020-11-26 Shane Gilroy , John O'Dwyer , Lucas Bortoleto
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