Abstract
The fade-in and fade-out algorithm based on the Bernstein polynomial has certain limitations in image fusion. Therefore, this article proposes a new image fusion algorithm. First, the SIFT algorithm is used to register the images. Second, for the disjointed case of overlapping regions, a progressive image mosaic fusion algorithm in the form of a sine function is proposed. Finally, in order to make the progressive image mosaic fusion algorithm suitable for a variety of overlapping regions, this paper adds segmentation technology. The simulation experiment results show that the algorithm proposed in this paper is in good agreement with the spatial details and texture details of a high-resolution panchromatic image, and the time is shorter, which meets the real-time requirements. In addition, the algorithm proposed in this paper is effective in applications such as virtual reality and art image fusion.
Highlights
In order to solve the contradiction between the field of view and the image resolution, to obtain a 360◦ panoramic image while maintaining the resolution, people consider using computer programs to splice the sequence images together, and image mosaicing technology [1], [2] is proposed
Based on the above analysis, this paper proposes a new image mosaic fusion algorithm based on the analysis and VOLUME 9, 2021
The feature points extracted by the scaleinvariant feature transform (SIFT) algorithm have feature descriptors, and the local invariant features of some feature points are used to match with the feature space, which avoids the direct manipulation of image gray levels and is more robust
Summary
In order to solve the contradiction between the field of view and the image resolution, to obtain a 360◦ panoramic image while maintaining the resolution, people consider using computer programs to splice the sequence images together, and image mosaicing technology [1], [2] is proposed. Image mosaicing technology is a technology that combines two or more image sequences with overlapping information taken from the same sensor and the same scene into a wide-view, high-quality panoramic image through image registration and fusion [5]–[7]. (2) A progressive image mosaic fusion algorithm in the form of a sine function is proposed. This algorithm can solve the disjointed situation of overlapping areas and realize a seamless mosaic of panoramic images. (3) Segmentation technology is added to make the progressive image mosaic fusion algorithm suitable for multiple overlapping areas. It can eliminate the accumulated error in the fusion of overlapping regions
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