40 citations · 88 across the 10 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…
TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR
Fayaz Ali Dharejo, Sharif S. M. A., Aiman Khalil +3
Multimodal medical image fusion facilitates comprehensive diagnosis by aggregating complementary structural and functional information, but its effectiveness is limited by resoluti…
Degradation-Aware All-in-One Image Restoration via Latent Prior Encoding
S M A Sharif, Abdur Rehman, Fayaz Ali Dharejo +2
Real-world images often suffer from spatially diverse degradations such as haze, rain, snow, and low-light, significantly impacting visual quality and downstream vision tasks. Exis…
Deep Perceptual Enhancement for Medical Image Analysis
S M A Sharif, Rizwan Ali Naqvi, Mithun Biswas +1
Due to numerous hardware shortcomings, medical image acquisition devices are susceptible to producing low-quality (i.e., low contrast, inappropriate brightness, noisy, etc.) images…
Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images
S M A Sharif, Rizwan Ali Naqvi, Woong-Kee Loh
Medical image denoising is considered among the most challenging vision tasks. Despite the real-world implications, existing denoising methods have notable drawbacks as they often…
DarkDeblur: Learning single-shot image deblurring in low-light condition
S M A Sharif, Rizwan Ali Naqvi, Farman Alic +1
Single-shot image deblurring in a low-light condition is known to be a profoundly challenging image translation task. This study tackles the limitations of the low-light image debl…
Illuminating Darkness: Learning to Enhance Low-light Images In-the-Wild
S M A Sharif, Abdur Rehman, Zain Ul Abidin +3
Single-shot low-light image enhancement (SLLIE) remains challenging due to the limited availability of diverse, real-world paired datasets. To bridge this gap, we introduce the Low…
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
Furkan Kınlı, Sami Menteş, Barış Özcan +30
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations,…
SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction
S M A Sharif, Rizwan Ali Naqvi, Mithun Biswas
Nona-Bayer colour filter array (CFA) pattern is considered one of the most viable alternatives to traditional Bayer patterns. Despite the substantial advantages, such non-Bayer CFA…
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor
SMA Sharif, Rizwan Ali Naqvi, Mithun Biswas
Pixel binning is considered one of the most prominent solutions to tackle the hardware limitation of smartphone cameras. Despite numerous advantages, such an image sensor has to ap…
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
SMA Sharif, Rizwan Ali Naqvi, Mithun Biswas +1
Mapping a single exposure low dynamic range (LDR) image into a high dynamic range (HDR) is considered among the most strenuous image to image translation tasks due to exposure-rela…