Brief review of image denoising techniques
L Fan, F Zhang, H Fan, C Zhang - Visual Computing for Industry …, 2019 - Springer
With the explosion in the number of digital images taken every day, the demand for more
accurate and visually pleasing images is increasing. However, the images captured by …
accurate and visually pleasing images is increasing. However, the images captured by …
Image denoising review: From classical to state-of-the-art approaches
At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …
A temperature field reconstruction method based on acoustic thermometry
Q Zhong, Y Chen, B Zhu, S Liao, K Shi - Measurement, 2022 - Elsevier
In power plant boiler, the temperature field information directly reflects its internal
combustion conditions. To ensure the proper running of the whole system and reduce …
combustion conditions. To ensure the proper running of the whole system and reduce …
Automated computationally intelligent methods for ocular vessel segmentation and disease detection: a review
Ocular diseases are eventually increasing these days that cause partial or complete vision
loss even at an early age, the prominent reason behind this is cardiovascular diseases that …
loss even at an early age, the prominent reason behind this is cardiovascular diseases that …
Patch-based image inpainting via two-stage low rank approximation
To recover the corrupted pixels, traditional inpainting methods based on low-rank priors
generally need to solve a convex optimization problem by an iterative singular value …
generally need to solve a convex optimization problem by an iterative singular value …
MOTF: Multi-objective Optimal Trilateral Filtering based partial moving frame algorithm for image denoising
MR Rejeesh, P Thejaswini - Multimedia Tools and Applications, 2020 - Springer
In this paper, a novel denoising approach based on optimal trilateral filtering using Grey
Wolf Optimization (GWO) is proposed. At first, a database of noisy images are generated by …
Wolf Optimization (GWO) is proposed. At first, a database of noisy images are generated by …
Medical image fusion and denoising with alternating sequential filter and adaptive fractional order total variation
Medical image fusion aims at integrating information from multimodality medical images to
obtain a more complete and accurate description of the same object, which provides an …
obtain a more complete and accurate description of the same object, which provides an …
Improved clustering algorithms for image segmentation based on non-local information and back projection
X Zhang, Y Sun, H Liu, Z Hou, F Zhao, C Zhang - Information Sciences, 2021 - Elsevier
Accurate image segmentation is a prerequisite to conducting an image analysis task, and
the complexity stemming from the semantic diversity plays a pivotal role in image …
the complexity stemming from the semantic diversity plays a pivotal role in image …
A novel optical image denoising technique using convolutional neural network and anisotropic diffusion for real-time surveillance applications
The elimination of noisy content from digital images is one of the major issues during image
pre-processing. The process of image acquisition, compression, and image transmission is …
pre-processing. The process of image acquisition, compression, and image transmission is …
Learning deconvolutional deep neural network for high resolution medical image reconstruction
Super resolution reconstruction can be used to recover a high resolution image from a low
resolution image and is particularly beneficial for clinically significant medical images in …
resolution image and is particularly beneficial for clinically significant medical images in …