Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Gnanasambandam, Abhiram"'
Non-blind image deconvolution has been studied for several decades but most of the existing work focuses on blur instead of noise. In photon-limited conditions, however, the excessive amount of shot noise makes traditional deconvolution algorithms fa
Externí odkaz:
http://arxiv.org/abs/2309.03105
Blind deconvolution is a challenging problem, but in low-light it is even more difficult. Existing algorithms, both classical and deep-learning based, are not designed for this condition. When the photon shot noise is strong, conventional deconvoluti
Externí odkaz:
http://arxiv.org/abs/2208.00451
The signal-to-noise ratio (SNR) is a fundamental tool to measure the performance of an image sensor. However, confusions sometimes arise between the two types of SNRs. The first one is the output-referred SNR which measures the ratio between the sign
Externí odkaz:
http://arxiv.org/abs/2112.05817
Autor:
Zhang, Xue, Cheung, Gene, Pang, Jiahao, Sanghvi, Yash, Gnanasambandam, Abhiram, Chan, Stanley H.
A 3D point cloud is typically constructed from depth measurements acquired by sensors at one or more viewpoints. The measurements suffer from both quantization and noise corruption. To improve quality, previous works denoise a point cloud \textit{a p
Externí odkaz:
http://arxiv.org/abs/2111.04946
Image deblurring in photon-limited conditions is ubiquitous in a variety of low-light applications such as photography, microscopy, and astronomy. However, the presence of photon shot noise due to low illumination and/or short exposure makes the debl
Externí odkaz:
http://arxiv.org/abs/2110.15314
We introduce OPtical ADversarial attack (OPAD). OPAD is an adversarial attack in the physical space aiming to fool image classifiers without physically touching the objects (e.g., moving or painting the objects). The principle of OPAD is to use struc
Externí odkaz:
http://arxiv.org/abs/2108.06247
Publikováno v:
IEEE Transactions on Computational Imaging, 2020
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 generally h
Externí odkaz:
http://arxiv.org/abs/2011.03614
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 before the
Externí odkaz:
http://arxiv.org/abs/2007.08614
State-of-the-art image classifiers are trained and tested using well-illuminated images. These images are typically captured by CMOS image sensors with at least tens of photons per pixel. However, in dark environments when the photon flux is low, ima
Externí odkaz:
http://arxiv.org/abs/2006.02026
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 been demon
Externí odkaz:
http://arxiv.org/abs/1903.09036