Image Fusion: a Novel Approach
نویسنده
چکیده
An image fusion is from a combination of two or more source images corresponding to the image information into a single process. The information displayed in the modified image of the combination shows a higher quality. The quality of an image depends on its perception quality, resolution and contrast. In this paper, we have applied Pyramid Decomposition based on image fusion techniques, which means Laplacian and Gaussian pyramid decomposition. Good quality of fused images in many research results are applied to remote sensing, robotics, microscopy, medical field. The results show the quality of image is advanced as well as better brightness in dark, gray or bright regions also.
منابع مشابه
Plant Classification in Images of Natural Scenes Using Segmentations Fusion
This paper presents a novel approach to automatic classifying and identifying of tree leaves using image segmentation fusion. With the development of mobile devices and remote access, automatic plant identification in images taken in natural scenes has received much attention. Image segmentation plays a key role in most plant identification methods, especially in complex background images. Wher...
متن کاملA Novel Patch-Based Digital Signature
In this paper a new patch-based digital signature (DS) is proposed. The proposed approach similar to steganography methods hides the secure message in a host image. However, it uses a patch-based key to encode/decode the data like cryptography approaches. Both the host image and key patches are randomly initialized. The proposed approach consists of encoding and decoding algorithms. The encodin...
متن کاملEvaluation of Similarity Measures for Template Matching
Image matching is a critical process in various photogrammetry, computer vision and remote sensing applications such as image registration, 3D model reconstruction, change detection, image fusion, pattern recognition, autonomous navigation, and digital elevation model (DEM) generation and orientation. The primary goal of the image matching process is to establish the correspondence between two ...
متن کاملA Novel Image Structural Similarity Index Considering Image Content Detectability Using Maximally Stable Extremal Region Descriptor
The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...
متن کاملApplication of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
متن کاملA Novel Approach for Image Fusion Using Total Variation and Markov Random Field
In this paper, a novel approach based on total variation and markov random field is proposed for pixel-level image fusion. In the proposed approach, fusion is posed as an inverse problem and an image formation model is used as the forward model. Considering the spatial correlation of sensor selectivity factor, total variation (TV) and markov random field (MRF) model are employed to estimate the...
متن کامل