Results 71 to 80 of about 12,433,356 (168)

SIMRET: A Similarity-Guided Retinex Approach for Low-Light Enhancement

Applied Sciences
Standard Retinex-based algorithms typically rely on gradient constraints to decompose an image, assuming that illumination is spatially smooth while reflectance contains sharp details.
Abdülmuttalip Öztürk, Ferzan Katırcıoğlu   +1 more
doaj   +1 more source

Directional global three-part image decomposition [PDF]

, 2016
We consider the task of image decomposition, and we introduce a new model coined directional global three-part decomposition (DG3PD) for solving it. As key ingredients of the DG3PD model, we introduce a discrete multi-directional total variation norm and
Thai, D. H., C. Gottschlich, Gottschlich, C., D. H. Thai   +3 more
core   +2 more sources

Pseudo-Multispectral Pedestrian Detection with Deep Thermal Feature Guidance

Guidance, Navigation and Control
With complementary multi-modal information (i.e. visible and thermal), multispectral pedestrian detection is essential for around-the-clock applications, such as autonomous driving, video surveillance, and vicinagearth security.
Fuchen Chu, Yanwei Pang, Xuebin Sun, Jiale Cao, Zhanjie Song   +4 more
doaj   +1 more source

A Novel Secure and Robust Image Watermarking Method Based on Decorrelation of Channels, Singular Vectors, and Values

Advances in Electrical and Computer Engineering, 2017
A novel secure and robust image watermarking technique for color images is presented in this paper. Besides robustness and imperceptibility (which are the most important requisites of any watermarking scheme), there are two other challenges a good ...
IMRAN, M., HARVEY, B. A.
doaj   +1 more source

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction

IEEE Access, 2017
Most off-the-shelf subspace learning methods directly calculate the statistical characteristics of the original input images, while ignoring different contributions of different image components. In fact, to extract efficient features for image analysis,
Meng Pang, Binghui Wang, Yiu-Ming Cheung, Chuang Lin   +3 more
doaj   +1 more source

Nighttime Image Stitching Method Based on Image Decomposition Enhancement. [PDF]

Entropy (Basel), 2023
Yan M, Qin D, Zhang G, Tang H, Ma L.
europepmc   +1 more source

Self-supervised intrinsic image decomposition

, 2019
Intrinsic decomposition from a single image is a highly challenging task, due to its inherent ambiguity and the scarcity of training data. In contrast to traditional fully supervised learning approaches, in this paper we propose learning intrinsic image ...
Wu, Jiajun, Tenenbaum, Joshua B, Kulkarni, Tejas Dattatraya, Yildirim, Ilker, Janner, Michael   +4 more
core  

Example of a CWT decomposition of a thyroid US image when three image patches are taken from different locations of the US image.

, 2019
Example of a CWT decomposition of a thyroid US image when three image patches are taken from different locations of the US image.
Nazila Esmaeili (6274028), Prabal Poudel (6274031), Alfredo Illanes (5706548), Sathish Balakrishnan (6274034), Michael Friebe (5706557)   +4 more
core   +1 more source

Nighttime foggy image generation algorithm based on semi-analytic model

Tongxin xuebao
To solve the problems that there were few studies on the generation of night foggy images, and the commonly used atmospheric scattering model was not effective in generating foggy nights, a new night foggy image generation method was proposed.
GUO Fan, LIU Wentao, YANG Jianan, TANG Jin   +3 more
doaj  

Image Decomposition Technique Based on Near-Infrared Transmission. [PDF]

J Imaging, 2022
Aminoto T, Priambodo PS, Sudibyo H.
europepmc   +1 more source