Results 21 to 30 of about 38,835 (213)
Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2021 Computational color constancy (CCC) is a fundamental prerequisite for many computer vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene under varying illumination can be normalized to an image under the canonical ...
Yunhui Luo +3 more
doaj +1 more source
IEEE Access, 2021 For the imaging signal processing (ISP) pipeline of digital image devices, it is of high significance to remove undesirable illuminant effects and obtain color invariance, commonly known as ‘computational color constancy’.
Ho-Hyoung Choi, Byoung-Ju Yun
doaj +1 more source
The Cube++ Illumination Estimation Dataset
IEEE Access, 2020 Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras.
Egor Ershov +8 more
doaj +1 more source
Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
doaj +1 more source
On the Performance of the Two-Diode Model for Photovoltaic Cells Under Indoor Artificial Lighting
IEEE Access, 2021 Models of photovoltaic devices are an important tool for the estimation of their I-V characteristics. These characteristics, in turn, can be used to optimize production, compare devices, or predict the output power under different illumination conditions.
Xinyu Ma, Sebastian Bader, Bengt Oelmann
doaj +1 more source
A Novel Automatic White Balance Method for Color Constancy Under Different Color Temperatures
IEEE Access, 2021 The spectrum distribution of the light source between scenes is usually uniform in all scenes lit by a given light source per the color constancy assumption.
Wei-Yen Hsu, Han-Chang Cheng
doaj +1 more source
CVCC Model: Learning-Based Computer Vision Color Constancy with RiR-DSN Architecture
Sensors, 2023 To achieve computer vision color constancy (CVCC), it is vital but challenging to estimate scene illumination from a digital image, which distorts the true color of an object.
Ho-Hyoung Choi
doaj +1 more source
INTEL-TAU: A Color Constancy Dataset
IEEE Access, 2021 In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination estimation research.
Firas Laakom +4 more
doaj +1 more source
Green Stability Assumption: Unsupervised Learning for Statistics-Based Illumination Estimation
Journal of Imaging, 2018 In the image processing pipeline of almost every digital camera, there is a part for removing the influence of illumination on the colors of the image scene.
Nikola Banić, Sven Lončarić
doaj +1 more source
Plant Methods, 2023 Background The advancements in unmanned aerial vehicle (UAV) technology have recently emerged as an effective, cost-efficient, and versatile solution for monitoring crop growth with high spatial and temporal precision. This monitoring is usually achieved
Yuxiang Wang +3 more
doaj +1 more source