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The fusion of images is the process of combining two or more images into a single image retaining important features from each. Image fusion is an important technique especially in nondestructive method of testing [1 - 3] wherein no damage is done to the material being tested. There are two categories of image fusion, one being fusion of images from the same sensor and the other being multi - sensor...
As the global threat of terrorism continues to escalate, finding efficient ways to ensure the safety of the public is becoming a major concern for the authorities. This paper presents an investigation of scanning and detection of concealed weapons with possible applications in high risk areas like airports. Using a passive and non-intrusive scanning method like Infrared (IR) imaging, and combining...
In this paper, a wavelet-based decomposition level with scale invariant feature transform (SIFT) is proposed to solve the problem of image registration. At the highest wavelet-based pyramid level, mutual-information (MI) based registration is applied and rough similarity (linear conformal) transformation parameters are achieved. At the first wavelet-based decomposition level, SIFT-based registration...
This paper presents a method which based on Fourier-Mellin transform registration algorithm to rotate the archaic epigraph images correction without reference object. In our research range, we improve the traditional methods of edge detection based on the characters of archaic epigraph images, propose the block edge detection method and the multi-scale edge detection method based on Wavelet Transform...
The proposed technique addresses a fusion method of two imaging sensors on pixel-level. The fused image will provide a scene representation which is robust against illumination changes and different weather conditions. Thus, the combination of the advantages of each camera will extend the capabilities for many computer vision applications, such as video surveillance and automatic object recognition...
This paper presents an efficient multiresolution video stabilization algorithm based on the Scale Invariant Feature Transform (SIFT) algorithm. The algorithm utilizes the Haar wavelet transformation of registered images, reducing the memory consumption while maintaining accuracy of the feature points, which we will quantitatively contrast in the paper.
Image super-resolution is a technique of combining a set of overlapping low-resolution (LR) images to produce a high-resolution (HR) image. This technique has two main steps; the first step is alignment of LR images that should be done with sub-pixel accuracy and the second step is the reconstruction stage. In this paper, we improve the works done beforehand in image registration. The planar motion...
Mutual information based image registration has the advantages of high precision and strong robustness. However, the solution of this registration method is easy to fall into the local extremes. To overcome this problem, in this paper we propose a new optimal algorithm for image registration, which combines ant colony algorithm with particle swarm algorithm based on wavelet transform. Experiment results...
A pyramid approach for remote sensing image registration based on mutual information and grey relational analysis is presented. The methodology applies edge information of image extracted using grey relational analysis and combines with mutual information regarding as similarity measure. First, the image pyramid is constructed by wavelet transform, and then coarse-to-fine multi-resolution search approaches...
Non-stationary Gauss-Markov random fields are required in modeling images with complex patterns. In this paper, we propose a framework for registering images to a non-stationary Gauss-Markov random field template in an M??M lattice, with a complexity of order M2 log M, considering only global translations. We simplify the likelihood computation by expressing it as a scalar product and we estimate...
We consider a video streaming system in which the user can interactively watch an arbitrary region of a high-spatial-resolution scene. Region-of-interest (RoI) prediction helps pre-fetch select slices of encoded video. The more accurate the RoI prediction the lower is the percentage of missing pixels. We compare different techniques for RoI prediction for streaming soccer sequences. Two techniques...
Image registration is an inevitable problem arising in many image-processing applications whenever two or more images of the same scene have to be compared pixel by pixel. The increased volume of satellite images has reinforced the need for automatic image registration methods. In this paper, two new feature-based approaches to automated image-to-image registration are presented. The characteristic...
Digital image registration is a process by which the most accurate match is determined between two images which may have been taken at the same or different viewpoints. The registration process determines the optimal transformation which will align the two images. This has applications in many fields as diverse as medical images analysis, pattern matching and computer vision for robotics, as well...
Multi-focus fusion is an important technique to integrate focal information from a set of input registered images. In this effort, a novel image fusion algorithm based on multi-scheme is presented. Given an over-complete Gabor dictionary, through matching pursuit signal decomposition algorithm, each source image can be described by sparse combinations of these atoms. Then the coefficients of the fused...
Image fusion is the process by which two or more images are combined into a single image, retaining the important features from each of the original images. The goal of Image Fusion (IF) is to integrate complementary multi-sensor, multi-temporal and/or multi-view information into one new image, the quality of which cannot be achieved otherwise. The term ??quality??, its meaning and measurement depend...
Multifocus fusion is an important technique to integrate focal information from a set of input registered images. In this effort, a novel image fusion algorithm based on adaptive features matching is presented. Given an over-complete Gabor dictionary, through orthogonal matching pursuit signal decomposition algorithm, each source image can be described by sparse combinations of these atoms which capture...
Image registration is an important task in the field of computer vision and pattern recognition. And the applied values is also reflected in the study of remote sensing, medical imaging and the object indentifying of multi-sensor fusion. In this paper, a new subpixel registration methods which based on wavelet analysis was proposed by improving polynomial subdivision algorithm and pixel level registration...
To deal with the large amounts of data generated in 21st century applications such as multi-level, cross-domain representation of multi-modal signals (e.g. video, images, hyperspectral) for efficient transmission, storage, manipulation, multi-modal data mining, and machine learning; identification of signals (friendly, threat, etc.), streaming video, and 3-D image processing, new methods of information...
Subpixel scene registration is useful for certain image processing applications. In one image processing application, image frame integration can use frame registration. The scene shifts does not necessarily have to be integer shifts. In this paper, we present an image registration approach that is based on the wavelet decomposition and the Fitts correlation algorithm. The original Fitts algorithm...
This paper deals with the insertion of a chaotic signature in an image by exploiting the analogy presented by the wavelets transform and the human visual system (HVS) model, to modulate and adapt the signature according to local characteristic's of the image. The blind detection process consists on computing the correlation between the marked DWT coefficients and the watermarking sequence. In order...
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