Image fusion is one of the important techniques to enhance image information of remote sensing. In order to adequately make use of all kinds of remote sensing images information such as Panchromatic and threeband multi-spectral images, a novel remote sensing image fusion scheme based on wavelet transform is proposed. The fusion of multispectral (MS) and panchromatic (PAN) images, with complemen...

Image fusion is well used for medical brain image classification. Wavelet transform is the most commonly used image fusion method, which fuses the source images' information in wavelet domain according to some fusion rules. But because of the uncertainties of the source images' contributions to the fused image, how to design a good fusion rule to integrate as much information as possible into t...

Image Fusion is a technique that integrates complementary information from multiple images such that the fused image is more suitable for processing tasks. The paper starts with the study of initial concepts for image fusion. In this paper, the fusion of images from different sources using multiresolution wavelet transform with preprocessing of Image Fusion is proposed. The fused image has more...

Image fusion fuses the information from several images of one scene to obtain a precise, complete and reliable image which is more appropriate for human visual perception or additional vision processing. The quality of an image is closely related to image focus. The discrete cosine transforms (DCT) based methods of image fusion are more suitable and time-saving in real-time systems using DCT ba...

UNLABELLED Differential diagnosis of pancreatic lesions still remains a problem. Whereas CT provides high spatial resolution, PET detects malignant lesions with high sensitivity. The objective of this study was to evaluate the clinical benefit of PET/CT image fusion in the diagnostic workup of pancreatic cancer. METHODS One hundred four patients with suspected pancreatic lesion underwent trip...

In this study, we evaluate comprehensively the indexes of the five image fusion algorithms through the analysis of grey correlation degree. The result shows: HIS transform method shows a better correlation and the fusion image has the best quality; followed by the component transform method, wavelet transform method, weighed average method with an average fusion image quality and pyramid method...

Wavelet transform is an effective method of image fusion. But the decomposition level is an important factor which affects the image fusion effect and computing complexity. By using some evaluation methods of image fusion, such as entropy, standard deviation, mutual information, and quality measure methods was proposed by Wang & Bovik and Xing. Evaluation of image fusion was implemented with di...