Fusion in image processing - Bloch, Maitre - 2008 () Citation Context ...over the input signal. Examples of such procedures are image restoration, edge detection [18], motion estimation [1], denoising [26, 27], super-resolution [14], shape-from-shading [34], sensor fusion =-=[3, 29...
Image fusion technology has successfully contributed to various fields such as medical diagnosis and navigation, surveillance systems, remote sensing, digital cameras, military applications, computer vision, etc. Image fusion aims to generate a fused single image which contains more precise reliable visuali...
Fatima A. Merchant, Alberto Diaspro, in Microscope Image Processing (Second Edition), 2023 11.5 Image Fusion Image fusion is an approach frequently used in 3D microscopy to combine a set of optical section images into a single 2D image containing the detail from each optical section in the sta...
A fast and effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on a two-scale decomposition of an image into a base layer containing large scale variations in intensity, and a detail layer capturing ...
OlaPietka/Gradient-Domain-Fusion Sponsor Star12 Code Issues Pull requests Gradient-domain processing techniques including Poisson blending, Laplacian blending, color transfer, and more computer-visionimage-blendinggradient-domainpoisson-blending UpdatedMay 27, 2023 ...
Image Quality Assessment Using Multi-Method Fusion A new methodology for objective image quality assessment (IQA) with multi-method fusion (MMF) is presented in this work. The research is motivated by the o... TJ Liu,W Lin,CCJ Kuo - 《IEEE Transactions on Image Processing》 被引量: 107发...
使用小波变换对图像进行处理,包括图像融合、图像降噪、图像压缩和图像隐藏(Using wavelet transform for image processing, including image fusion, image denoising, image compression, and image hiding) - fkby48/Image-Processing-by-DWT
In a sense the system fairly balances heavy computation burden of multiscale-based fusion algorithms and real-time request for hardware. Actual experiments and tests indicate that the image fusion processing system works steadily and reliably. It takes on satisfactory performance and can realize quasi...
In this study, a novel adaptive sparse representation (ASR) model is presented for simultaneous image fusion and denoising. As a powerful signal modelling technique, sparse representation (SR) has been successfully employed in many image processing applications such as denoising and fusion. In traditio...
^S. Li, X. Kang, J. Hu, Image fusion with guided filtering, IEEE Transactions on Image Processing, 22 (2013) 2864-2875. ^R. Kimmel, E. Elad, D. Shaked, A variational framework for retinex, International Journal of Computer Vision, 52 (2003) 7–23. ...