Results 31 to 40 of about 306 (168)

Microscopy image fusion algorithm based on saliency analysis and adaptive m-pulse-coupled neural network in non-subsampled contourlet transform domain

open access: yesInternational Journal of Distributed Sensor Networks, 2017
Microscopy image fusion, as a new item in related research field, has been extensively used in integrated-circuit defect detection and intaglio-plate-microstructure observation. In this article, a novel microscopy image fusion algorithm based on saliency
Tao Yan, Fengxian Liu, Bin Chen
doaj   +1 more source

Non‐subsampled contourlet transform based image Denoising in ultrasound thyroid images using adaptive binary morphological operations

open access: yesIET Computer Vision, 2014
Speckle noise reduction is an important preprocessing stage for ultrasound medical image processing. In this paper, a despeckling algorithm is proposed based on non‐subsampled contourlet transform.
Jayachandiran Jai Jaganath Babu   +1 more
doaj   +1 more source

Analysis of Non- Subsampled Contourlet Transform for Medical Image Fusion

open access: yesEvergreen
In this paper, at different picture representation levels, such as the feature, pixel, decision-making, and data levels, images are presented. Pixels in pixel-level image fusion uniquely identifies a group of pixels in several source images, and the fused image may then be produced.
Satyanarayana, Vella, P. Mohanaiah
openaire   +2 more sources

Brain medical image fusion scheme based on shuffled frog‐leaping algorithm and adaptive pulse‐coupled neural network

open access: yesIET Image Processing, 2021
Aiming at the problems of low contrast and blurred edge textures in medical image fusion, a new fusion scheme in non‐subsampled contourlet transform (NSCT) domain is proposed to improve the quality of fused brain images which is based on pulse‐coupled ...
Yu Miao, Ning Chunyu, Xue Yazhuo
doaj   +1 more source

Hybrid image denoising method based on non‐subsampled contourlet transform and bandelet transform

open access: yesIET Image Processing, 2018
The second generation bandelet transform uses the two‐dimensional (2D) separable wavelet transform to improve its image denoising and compression performance. However, the 2D separable wavelet transform is not a shift‐invariant transform and therefore cannot capture geometric information well.
Xiaokai Wang   +3 more
openaire   +1 more source

Image Fusion Method based on Non-Subsampled Contourlet Transform

open access: yesJournal of Software, 2012
Considering human visual system and characteristics of images, a novel image fusion strategy is presented for panchromatic high resolution image and multispectral image in non-subsampled contourlet transform (NSCT) domain. The NSCT can give an asymptotic optimal representation of edges and contours in image by virtue of its characteristics of good ...
openaire   +1 more source

Multimodal Medical Image Fusion in Spatial‐Transformed Domains

open access: yesIET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.
Fusion of multimodal medical images has become an essential reference for clinical diagnosis and a prominent topic in information fusion research. However, balancing the fusion performance with computational efficiency remains a challenging issue. In this paper, we propose an effective and efficient hybrid fusion method for multimodal medical images ...
Yisheng Rong   +5 more
wiley   +1 more source

Gradient‐Aware Multiscale Feature Enhancement With Reliability Attention for Multi‐Focus Image Fusion

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose MSFE‐Net, an algorithm for multi‐focus image fusion that combines gradient‐aware multi‐scale feature enhancement, focus‐reliability attention based on local‐variance statistics, and an enhanced spatial frequency fusion strategy using four‐directional gradients with local context and morphological refinement to produce robust decision maps ...
Haifeng Gong   +7 more
wiley   +1 more source

License Plate Image Dehaze Using Lightweight Vision Transformer With Modified Perceptual and Charbonnier Loss

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The invention of infrastructure facilities in intelligent transportation systems is skyrocketing every day. The improvements in such things have many pros and cons. For instance, the accident rate increases due to a rise in the number of vehicles and changes in weather conditions.
K. P. Risha   +4 more
wiley   +1 more source

Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach

open access: yesEngineering Reports, Volume 7, Issue 8, August 2025.
Railway electrification systems indeed have unique challenges due to variable power demand and dynamic train operations. Power quality (PQ) monitoring for high‐speed trains (HSTs) is essential to guarantee the effectual and unfailing operation of the ESs.
Pampa Sinha   +6 more
wiley   +1 more source

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