Low-light image enhancement algorithms (LIEAs) aim to improve the visibility of images captured under poor illumination. However, the enhancement process often introduces artifacts such as noise amplification, color shift, structural damage, and over-exposure, which degrade the perceptual quality of the enhanced images.
The paper presents MM‑IQA, a lightweight no‑reference image quality assessment framework designed for UAV imaging. It fuses interpretable metrics—blur, edge structure, low‑resolution artifacts, exposure imbalance, noise, haze, and frequency content—to output a single quality score between 0 and 100. Evaluated on five benchmark datasets, MM‑IQA achieved SRCC values from 0.647 to 0.830 and runs in about 1.97 s per image with modest memory usage.
By Koffi Titus Sergio Aglin, Anthony K. Muchiri, Celestin Nkundineza
arXiv:2608.24881v1 Announce Type: cross
Abstract: Generative models are commonly ranked by Fr\'echet Inception Distance (FID) and Kernel Inception Distance (KID), yet FID's first-two-moment summary c...
By Hao Chen
WebMRIQC is a browser-based, open‑source platform that wraps the MRIQC engine to provide automated MRI image quality assessment without local installation. It handles DICOM‑to‑BIDS conversion, runs the containerized MRIQC pipeline on a shared compute node, and presents results in an interactive dashboard that benchmarks each scan against normative data. Validation on BraTS‑Africa and BraTS 2021 datasets shows strong agreement across thirteen image‑quality metrics, indicating that the web implementation can match native MRIQC performance.
By Philip Nkwam, Ifeoluwa Oladeji, Sekinat Zurakat-Aderibigbe, Jasmine Cakmak, Harrison Aduluwa, Confidence Raymond, Cliff Mokua, Abdulrazaq Zubair, Daniel Champanda, Tolulope Olusuyi, Maruf Adewole, Udunna Anazodo
arXiv:2606. 16082v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have been increasingly adopted for Image Quality Assessment (IQA).
By Guanyi Qin, Junjie Zhang, Chunming He, Yibing Fu, Jie Liang, Tianhe Wu, Lei Zhang
arXiv:2609.27959v1 Announce Type: cross
Abstract: We investigate a local spectral-complexity representation for perceptual image quality assessment (IQA) based on Shannon entropy of singular values c...
By Andrei Velichko, Petr Boriskov