From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …
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 …
Vibration signal fusion using improved empirical wavelet transform and variance contribution rate for weak fault detection of hydraulic pumps
H Yu, H Li, Y Li - ISA transactions, 2020 - Elsevier
This paper presents a novel vibration signal fusion algorithm using improved empirical
wavelet transform and variance contribution rate to fuse three-channel vibration signals for …
wavelet transform and variance contribution rate to fuse three-channel vibration signals for …
A review on image fusion methodologies and applications
Image Fusion is a technique by means of which data from several sources is merged
together onto a single image which leads to an increase in the information content within the …
together onto a single image which leads to an increase in the information content within the …
Two-dimensional gray scale image denoising via morphological operations in NSST domain & bitonic filtering
The denoising of an image is one of the most classical and basic step in image processing.
The most challenging task is to design a feature preserving denoising algorithm. This article …
The most challenging task is to design a feature preserving denoising algorithm. This article …
[HTML][HTML] An efficient image denoising scheme for higher noise levels using spatial domain filters
Image denoising is one of the fundamental image processing problem. Images are
corrupted with additive white Gaussian noise during image acquisition and transmission …
corrupted with additive white Gaussian noise during image acquisition and transmission …
Effective framework for pulmonary nodule classification from CT images using the modified gradient boosting method
HV Donga, JSAN Karlapati, HSS Desineedi… - Applied Sciences, 2022 - mdpi.com
Lung carcinoma, which is commonly known as lung cancer, is one of the most common
cancers throughout the world. Mostly, it is not diagnosed until it has spread, and it is very …
cancers throughout the world. Mostly, it is not diagnosed until it has spread, and it is very …
Osseous and digital subtraction angiography image fusion via various enhancement schemes and Laplacian pyramid transformations
Image fusion is a significant medical imaging tool which integrates the complimentary
information from various sources into a single frame for enhanced visual perception. The …
information from various sources into a single frame for enhanced visual perception. The …
Performance comparison of different wavelet families based on bone vessel fusion
A Dogra - Asian Journal of Pharmaceutics (AJP), 2016 - asiapharmaceutics.info
Aim: Image fusion has been a widely used application in the field of medical diagnosis.
Hence, a very little amount of literature has been found out on Bone and vascular image …
Hence, a very little amount of literature has been found out on Bone and vascular image …
Efficient fusion of osseous and vascular details in wavelet domain
Image fusion is important medical image processing technique which aims at fusing
complimentary information between two images. A little literature has been found on pre …
complimentary information between two images. A little literature has been found on pre …