Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives
X Liu, M Pedersen, R Wang - Digital Signal Processing, 2022 - Elsevier
Image enhancement is an essential technique used in many imaging applications. The main
motivation of image enhancement is processing an image to be more suitable for specific …
motivation of image enhancement is processing an image to be more suitable for specific …
Human-visual-system-inspired underwater image quality measures
Underwater images suffer from blurring effects, low contrast, and grayed out colors due to
the absorption and scattering effects under the water. Many image enhancement algorithms …
the absorption and scattering effects under the water. Many image enhancement algorithms …
[Retracted] Enhance‐Net: An Approach to Boost the Performance of Deep Learning Model Based on Real‐Time Medical Images
Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …
technology in medical applications assures that the healthcare sectors improve the quality of …
Tufts dental database: a multimodal panoramic x-ray dataset for benchmarking diagnostic systems
K Panetta, R Rajendran, A Ramesh… - IEEE journal of …, 2021 - ieeexplore.ieee.org
The application of Artificial Intelligence in dental healthcare has a very promising role due to
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …
the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental …
Image enhancement for tuberculosis detection using deep learning
The latest World Health Organization's (WHO) study on 2018 is showing that about 1.5
million people died and around 10 million people are infected with tuberculosis (TB) each …
million people died and around 10 million people are infected with tuberculosis (TB) each …
No reference color image contrast and quality measures
No-reference (NR) image quality assessment is essential in evaluating the performance of
image enhancement and retrieval algorithms. Much effort has been made in recent years to …
image enhancement and retrieval algorithms. Much effort has been made in recent years to …
A critical analysis on perceptual contrast and its use in visual information analysis and processing
Contrast in visible images is one of the most relevant characteristics of visual signals. Since
the pioneering works performed in vision psychology and optics, different definitions have …
the pioneering works performed in vision psychology and optics, different definitions have …
[PDF][PDF] IEM: a new image enhancement metric for contrast and sharpness measurements
VL Jaya, R Gopikakumari - International Journal of Computer Applications, 2013 - Citeseer
Evaluation of images, after processing, is an important step for determining how well the
images are being processed. Quality of image is usually assessed using image quality …
images are being processed. Quality of image is usually assessed using image quality …
Towards the design of a consistent image contrast enhancement evaluation measure
Abstract Contrast Enhancement Evaluation (CEE) is a very challenging problem. In this
work, we provide a detailed performance analysis of CEE measures. The study was …
work, we provide a detailed performance analysis of CEE measures. The study was …
Non-linear direct multi-scale image enhancement based on the luminance and contrast masking characteristics of the human visual system
SC Nercessian, KA Panetta… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Image enhancement is a crucial pre-processing step for various image processing
applications and vision systems. Many enhancement algorithms have been proposed based …
applications and vision systems. Many enhancement algorithms have been proposed based …