No-reference/blind image quality assessment: a survey
S Xu, S Jiang, W Min - IETE Technical Review, 2017 - Taylor & Francis
In recent years, no-reference/blind image quality assessment (NR-IQA), as a fundamental
but challenging research problem, has been attracting significant attention in the field of …
but challenging research problem, has been attracting significant attention in the field of …
A survey of perceptual image processing methods
Perceptual approaches have been widely used in many areas of visual information
processing. This paper presents an overview of perceptual based approaches for image …
processing. This paper presents an overview of perceptual based approaches for image …
On the early detection of COVID19 using advanced machine learning techniques: a review
MAA Siddiqui, MA Ali, M Deriche - 2021 18th International Multi …, 2021 - ieeexplore.ieee.org
The outbreak of the new coronavirus (COVID19), has caused devastating effects and was
declared as a major pandemic by the World Health Organization (WHO). Apart from knowing …
declared as a major pandemic by the World Health Organization (WHO). Apart from knowing …
A novel leukemia gene features extraction and selection technique for robust type prediction using machine learning
The broad term 'leukemia'refers to different types of cancer related to blood cells. Detecting
and identifying the specific type of leukemia continues to be a major challenge in the …
and identifying the specific type of leukemia continues to be a major challenge in the …
Robust concurrent detection of salt domes and faults in seismic surveys using an improved UNet architecture
M Alfarhan, M Deriche, A Maalej - IEEE access, 2020 - ieeexplore.ieee.org
Interpretation of seismic structural traps for accurate hydrocarbon reservoirs characterization
is a challenging task. Seismic interpreters learn to accurately delineate subsurface …
is a challenging task. Seismic interpreters learn to accurately delineate subsurface …
Towards a video quality assessment based framework for enhancement of laparoscopic videos
Laparoscopic videos can be affected by different distortions which may impact the
performance of surgery and introduce surgical errors. In this work, we propose a framework …
performance of surgery and introduce surgical errors. In this work, we propose a framework …
Transfer learning and decision fusion for real time distortion classification in laparoscopic videos
Laparoscopic surgery is a surgical procedure performed by inserting narrow tubes into the
abdomen without making large incisions in the skin. It is done with the aid of a video camera …
abdomen without making large incisions in the skin. It is done with the aid of a video camera …
Blind quality-based pairwise ranking of contrast changed color images using deep networks
Next-generation multimedia networks are expected to provide systems and applications with
top Quality of Experience (QoE) to users. To this end, robust quality evaluation metrics are …
top Quality of Experience (QoE) to users. To this end, robust quality evaluation metrics are …
Deep multi-label learning for image distortion identification
Abstract Image Distortion Identification is important for image processing system
enhancement, image distortion correction and image quality assessment. Although images …
enhancement, image distortion correction and image quality assessment. Although images …
An RFID-based monitoring and localization system for dementia patients
The fast increase in the percentage of elderly people over the past few years has prompted
a major interest in develo** monitoring systems to help in the well being of the elderly …
a major interest in develo** monitoring systems to help in the well being of the elderly …