Image fusion is a long-established and well-known study area of digital image processing. The reason is its substantial approach in several practical applications in which multi-focus …
Currently, medical imaging modalities produce different types of medical images to help doctors to diagnose illnesses or injuries. Each modality of images has its specific intensity …
T Wan, C Zhu, Z Qin - Pattern Recognition Letters, 2013 - Elsevier
Multifocus image fusion has emerged as a major topic in computer vision and image processing community since the optical lenses for most widely used imaging devices, such …
The fusion of data for medical imaging has become a central issue in such biomedical applications as image-guided surgery and radiotherapy. The multi-level local extrema (MLE) …
R Dhaundiyal, A Tripathi, K Joshi… - Journal of Physics …, 2020 - iopscience.iop.org
The unwanted data obtained through the medical image fusion is the main problem in biomedical applications, guided-image surgical and radiology. The Stationary Wavelet …
This paper focused on the in-depth analysis of the multi-focus image fusion processing to enhance image fusion quality. The lack of reliable image information is a challenge to …
L Guo, M Dai, M Zhu - Optics express, 2012 - opg.optica.org
Multifocus color image fusion is an active research area in image processing, and many fusion algorithms have been developed. However, the existing techniques can hardly deal …
The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of …
The undecimated discrete wavelet transform domain is used for fusing (UDWT). Medical image fusion aims in the direction of coalescing several images out of multifarious sources …