Perceptual image quality assessment: a survey
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …
to the existence of quality degradations introduced in various stages of visual signal …
Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical …
R Al Sobbahi, J Tekli - Signal Processing: Image Communication, 2022 - Elsevier
Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …
improving the illumination of images taken under low-light conditions. Recently, a …
Image quality assessment: Unifying structure and texture similarity
Objective measures of image quality generally operate by comparing pixels of a “degraded”
image to those of the original. Relative to human observers, these measures are overly …
image to those of the original. Relative to human observers, these measures are overly …
KADID-10k: A large-scale artificially distorted IQA database
Current artificially distorted image quality assessment (IQA) databases are small in size and
limited in content. Larger IQA databases that are diverse in content could benefit the …
limited in content. Larger IQA databases that are diverse in content could benefit the …
Loss functions for image restoration with neural networks
Neural networks are becoming central in several areas of computer vision and image
processing and different architectures have been proposed to solve specific problems. The …
processing and different architectures have been proposed to solve specific problems. The …
Predicting the perceptual quality of point cloud: A 3d-to-2d projection-based exploration
Point cloud is emerged as a promising media format to represent realistic 3D objects or
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …
Demystifying mlops and presenting a recipe for the selection of open-source tools
Nowadays, machine learning projects have become more and more relevant to various real-
world use cases. The success of complex Neural Network models depends upon many …
world use cases. The success of complex Neural Network models depends upon many …
A feature-enriched completely blind image quality evaluator
Existing blind image quality assessment (BIQA) methods are mostly opinion-aware. They
learn regression models from training images with associated human subjective scores to …
learn regression models from training images with associated human subjective scores to …
Perceptual quality assessment for multi-exposure image fusion
Multi-exposure image fusion (MEF) is considered an effective quality enhancement
technique widely adopted in consumer electronics, but little work has been dedicated to the …
technique widely adopted in consumer electronics, but little work has been dedicated to the …
[HTML][HTML] Image database TID2013: Peculiarities, results and perspectives
This paper describes a recently created image database, TID2013, intended for evaluation
of full-reference visual quality assessment metrics. With respect to TID2008, the new …
of full-reference visual quality assessment metrics. With respect to TID2008, the new …