16 citations · 37 across the 11 of their papers we have counts for
11 papers
Low Light Image Enhancement Challenge at NTIRE 2026
George Ciubotariu, Sharif S M A, Abdur Rehman +90
This paper presents a comprehensive review of the NTIRE 2026 Low Light Image Enhancement Challenge, highlighting the proposed solutions and final results. The objective of this cha…
NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102
This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…
ISALux: Illumination and Segmentation Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement
Raul Balmez, Alexandru Brateanu, Ciprian Orhei +2
We introduce ISALux, a novel transformer-based approach for Low-Light Image Enhancement (LLIE) that seamlessly integrates illumination and semantic priors. Our architecture include…
ModalFormer: Multimodal Transformer for Low-Light Image Enhancement
Alexandru Brateanu, Raul Balmez, Ciprian Orhei +2
Low-light image enhancement (LLIE) is a fundamental yet challenging task due to the presence of noise, loss of detail, and poor contrast in images captured under insufficient light…
The Tenth NTIRE 2025 Image Denoising Challenge Report
Lei Sun, Hang Guo, Bin Ren +91
This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to…
LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement
A. Brateanu, R. Balmez, A. Avram +2
This letter introduces LYT-Net, a novel lightweight transformer-based model for low-light image enhancement (LLIE). LYT-Net consists of several layers and detachable blocks, includ…
TMBuD: A dataset for urban scene building detection
Orhei Ciprian, Vert Silviu, Mocofan Muguras +1
Building recognition and 3D reconstruction of human made structures in urban scenarios has become an interesting and actual topic in the image processing domain. For this research…
An automated threshold Edge Drawing algorithm
Ciprian Orhei, Muguras Mocofan, Silviu Vert +1
Parameter choosing in classical edge detection algorithms can be a costly and complex task. Choosing the correct parameters can improve considerably the resulting edge-map. In this…
Dilated filters for edge detection algorithms
Ciprian Orhei, Victor Bogdan, Cosmin Bonchis
Edges are a basic and fundamental feature in image processing, that are used directly or indirectly in huge amount of applications. Inspired by the expansion of image resolution an…
A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications
Ciprian Orhei, Silviu Vert, Radu Vasiu
Augmented Reality is an environment-enhancing technology, widely applied in many domains, such as tourism and culture. One of the major challenges in this field is precise detectio…
Custom Extended Sobel Filters
Victor Bogdan, Cosmin Bonchiş, Ciprian Orhei
Edge detection is widely and fundamental feature used in various algorithms in computer vision to determine the edges in an image. The edge detection algorithm is used to determine…