With the development of the internet, medical images are now available in large numbers in online repositories, and there exists the need to retrieval the medical images in the content-based ways through automatically extracting visual information of the medical images. Since a single feature extracted from images just characterizes certain aspect of image content, multiple features are necessa...

Image Fusion is a process of combining the relevant information from a set of images, into a single image, wherein the resultant fused image will be more informative and complete than any of the input images. This paper discusses the implementation of three categories of image fusion algorithms – the basic fusion algorithms, the pyramid based algorithms and the basic DWT algorithms, developed a...

Image fusion is defi ned as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely spatial fusion and transform fusion and three levels namely pixel, feature and region level. In spatial fusion, the pixel values from the source images are direct...

A novel multi modal medical image fusion method based on weighted least squares filter is proposed. To perform the image fusion, a two-scale decomposition of the input images is performed. Then weighted least squares filter is used to calculate the weight maps for the base and detail layers and then a weighted average of the base and detail layer is performed to obtain the fused image. The perf...

Image fusion is the process of combining significant information from two or more images into a single image. The resulting image will be more informative than any of the input images. Image fusion is powerful technique for merging similar sensor and/or multi-sensor images to enhance the information. In remote sensing applications, the increasing availability of space borne sensors gives a moti...

The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many disparate fields such as remote sensing, robotics and medical applications. Wavelet based fusion techniques have been reasonably effective in combining perceptually important image features. Shift invariance of the wavelet t...

Curvelet is often used in image multi-scale analysis for its description ability to the image edges such as curve and line characteristics. On the basis of analyzing several common algorithms of image fusion, a new multi-focus image fusion method based on Curvelet transform is proposed according to the question of image fusion. The principle of Curvelet transform is described and the fusion rul...

Image fusion is the process of combining two or more images for providing more information. Medical image fusion refers to the fusion of medical images obtained from different modalities. Medical Image Fusion helps in medical diagnosis by way of improving the quality of the images. In diagnosis, images obtained from a single modality like MRI, CT etc, may not be able to provide all the required...

In pixel-level image sequence fusion, a composite image sequence has to be built of several spatially registered input image sequences. One of the primary goals in image sequence fusion is the temporal stability and consistency of the fused image sequence. To fulfill the preceding desiderata, we propose a novel approach based on a shift invariant extension of the 2D discrete wavelet transform, ...

New pixeland region-based multiresolution image fusion algorithms are introduced in this paper using the Parameterized Logarithmic Image Processing (PLIP) model, a framework more suitable for processing images. A mathematical analysis shows that the Logarithmic Image Processing (LIP) model and standard mathematical operators are extreme cases of the PLIP model operators. Moreover, the PLIP mode...