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With the advent of numerous remote sensing sensors available for the researcher, the fusion of digital image data has become a imperative tool for classifying remote sensing image and evaluation too. Remote sensing image fusion not only improves the spatial resolution of the original multispectral image, but also improves the spectral quality of merged product. Quantitative and qualitative digital...
Image fusion algorithm based on wavelet transform was proposed in this paper to improve quality of image and meet the needs of applications of vision. Because of the high frequency component and low frequency component representing different information of an image, two or more images to be fused should be firstly decomposed into sub-images with different frequency. Then, the different rules of fusion...
In recent years, there has been great progress in the field of multi-focus image fusion. However, existing methods still have their respective defects, and the quality of fused image needs to be improved further. In this paper, a novel fusion method by progressive pixel extraction is proposed. In accordance with the sums of all high-frequency coefficients in a series of windows, the method aims at...
This paper introduces the Nonsubsampled Contourlet Transform (NSCT) into infrared and visible remote sensing image fusion and proposes a novel multi-scale analysis method based on region energy. With better direction selectivity and energy convergence compared to that of wavelet, NSCT is suitable for representing detailed information of remote sensing images. In addition, region energy method is better...
The paper evaluates quality of medical image fusion by measuring definition of fused image and the amount of edge and texture information transferred from source images to fused image. Considering the unique characteristic of medical image, expert knowledge is brought into the model to weight source images during the process of evaluation. Experiments prove that, the model can accomplish tasks of...
Contourlet, one of multiscale analysis tool with great property of multi-directionality, locality and sparse approximation, is an excellent 2-dimentional image description approach. Contourlet can be employed as a remote sensing image fusion approach to improve spatial resolution and application through precise capture of edge information from panchromatic image and injection of that into multispectral...
This paper presents an alterative bi-dimensional empirical mode decomposition based on the assisted images constructed in advance according to needed bandwidth. Firstly, the given assisted image and its negative counterpart are added to the original image respectively to construct the two images to be decomposed. Secondly, the decomposed IMFs from the two images are added together to get the IMFs,...
Image fusion is to integrate the information of two or more source images in order to obtain the more accurate, comprehensive and reliable description of the same scene. One of the most important fields about image analysis and computer vision is image fusion. With the development of multi-sensors, it is possible to obtain data from different sensors. A new and improved image can be got if taking...
For natural image segmentation, due to features from a single image are hard to describe the complex scene information, this paper presents a new method based on the fusion model evaluation index PRI to fuse color histogram features in 3 color spaces, RGB, XYZ, LUV, and texture features. We experiment on images from Berkeley segmentation databases and compare the quantitative and qualitative experimental...
Pixel-level image fusion is widely used in many fields. We proposed a pixel-level image fusion algorithm based on particle swarm optimization with local search, that is, PSO-LS, which improves performance further. PSO-LS integrated the self-improvement mechanisms from memetic algorithms and can avoid local minimum in PSO. Experiments were carried out on two real world images. It is shown that fusion...
This paper proposes a new multi-exposure fusion algorithm for HDR imaging. The advantage of the fusion based method is that it does not actually generate HDR images so that the compression to LDR is also not needed. However, the conventional exposure fusion suffers from ghost effects when there are moving object or hand trembling because the output is just a weighted sum of multiple exposure input...
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA), based on the regional information of input images. We present a region-based method that combines the merits of both techniques. It utilises segmentation to identify edges, texture and other important features in the input...
Land cover in urban areas in China is changing rapidly during the past years as a result of urbanization. Changes detected from multi-temporal remote sensing images may help significantly in understanding urban development and supporting urban planning. Indeed, differences in reflectance spectra, easily obtained by satellite sensors, are important indicators for characterizing these changes. Although...
A new approach is proposed to correct geometric distortion and reduce space and time-variant blur in videos that suffer from atmospheric turbulence. We first register the frames to suppress geometric deformation using a B-spline based non-rigid registration method. Next, a fusion process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space...
Contourlet transform is the combination of the multi-scale analysis and multi-directional analysis in processing high-dimensional signals and has better approximation precision and better sparse description. Firstly, Using the Contourlet transform, several polarimetric images can be decomposed into low-frequency coefficients and high-frequency coefficients with multi-scales and multi-directions. For...
The fusion of images captured from multi-modality sensors has been studied for many years. It is aiming at combining multiple sources together to maximize the meaningful information and reduce the redundancy. Meanwhile, sparse representation of images has been attracting more and more attentions. It has been effectively utilized on image reconstruction, image de-noising, super-resolution and others...
Spatial resolution enhancement is usually required in the remote sensing field. Super-Resolution (SR) is a fusion process for reconstructing a High-Resolution (HR) image from several Low-Resolution (LR) images covering the same region in the world. It is difficult, however, for some satellite remote sensing arrangements to get several images of the same scene in a short time, especially for highly...
In order to overcome the lacking of Shift invariance in Contourlet Transform, enable the image fusion to be in accord with human vision properties, Nonsubsampled Contourlet Transform (NSCT) and Pulse Coupled Neural Networks(PCNN) were used jointly in image fusion algorithms. Original images were decomposed to get the coefficients of low frequency sub bands and high frequency sub bands. The coefficients...
This paper presents an immediate-mode, integrated approach to image fusion and visualization of multi-band satellite data, drawing from the computational resources of networked, high-resolution, tiled display environments. The presented workflow enables researchers to intuitively and interactively experiment with all tunable parameters, exposed through external devices such as MIDI controllers, to...
The endocardium tracking in ultrasound images is challenging due to large shape variations and the signal dropout. In this paper, we present a method to fuse multiple information sources to robustly track the endocardium. The first novelty of the method is to perform tracking in a straightened shape space, to minimize the image pattern changes caused by cardiac motions. Straightened images are used...
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