Image fusion is a process of combining complementary information from multiple images of the same scene into an image, so that the resultant image contains a more accurate description of the scene than any of the individual source images. In this paper, a new regionbased multifocus image fusion method is proposed. The motivation of our proposed method lies in the fact that region-based image fu...

Multi focus Image fusion is process of combining information of two or more images of a scene and as significance has "all-in-focus" image. When one section covers objects in different distance, the camera can b1(Student, Department of Electronics and Communication Engg., Punjabi University, Patiala 2(Assistant Professor, Department of Electronics and Communication Engg., Punjabi University, Pa...

In this paper, three different image fusion techniques are discussed and evaluated for the specific application of large-scale mapping of non-green vegetation. Additional synthetic scenes are used in the evaluation to exclude specific sources of errors and to cover a wide range of scene conditions.

Multiple sensor modalities offer additional information and potentially improved robustness to a range of imaging applications but come at a price of a huge increase in raw data that needs to be processed. This can often overwhelm human observers and machine vision systems entrusted with the task of extracting useful information from the imagery. Image fusion combines information from a number ...

M.-J Choi∗†‡ , H.-C. Kim§, N. I. Cho§ and H. O. Kim‡ †Satellite Technology Research Center, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Republic of KOREA. ‡ Division of Applied Mathematics, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Republic of KOREA. § School of Electrical Engineering and Computer Science, Seoul National University, Seoul, 1...

a novel fast image fusion scheme based on principal component analysis (pca) and lifting wavelet transformation (LWT) is proposed. Firstly, the principal component images of the registered original colour image are obtained by pca transformation. Then, the first principal component image and near infrared imagery are merged using lifting wavelet transformation (LWT) based on regional features. ...

06054. Abstract It is proposed an approach to solution of image recognition problems based on the following principal thesises: a) images are represented by multiple partial models widely used in pattern recognition – feature sets; b) algorithms are multiple classifiers: each algorithm use its own data – some partial image model; c) there are two kinds of fusion – data (partial models) fusion a...

With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. Digital image fusion is a relatively new research ® eld at the leading edge of available technology. It forms a rapidly developing area of research in remot...

The effective measurement of pixel’s sharpness is a key factor in multi-focus image fusion. In this paper, a gray image is considered as a two-dimensional surface, and the neighbor distance deduced from the oriented distance in differential geometry is used as a measure of pixel’s sharpness, where the smooth image surface is restored by kernel regression. Based on the deduced neighbor distance ...

Generally, image fusion methods are classified into three levels: pixel level (iconic), feature level (symbolic) and knowledge or decision level. In this paper we focus on iconic techniques for image fusion. Usually, image fusion techniques such as intensity-huesaturation (IHS) or Brovey are used to fuse high spatial resolution panchromatic and lower spatial resolution multispectral images that...