Abstract
To solve the problems of seams or ghosting caused by large exposure differences or moving objects in an image mosaic, this paper presents an image mosaicing method based on improved optimal seam-cutting. First, the feature points are extracted by the SIFT algorithm, and the false matching points are removed by the RANSAC algorithm. Next, a new energy function is constructed to perform optimal seam-cutting according to a dynamic programming algorithm that includes a colour and brightness data guarantee item in the YUV colour space and an eight-direction structural information guarantee item based on the Robinson operator. Finally, an improved weighted average method is proposed to fuse the images. The experimental results show that the method can make the transition of the image overlap area smoother and more natural, effectively eliminate the seam and ghosting and improving the image mosaic’s quality.
Highlights
The objective of image mosaicing is to align two or more images of the same scene with overlapping regions into a high-resolution wide-angle image
To solve the problems of the seam line and ghosting caused by a large exposure difference or a moving object in image mosaic, this paper presents an image mosaic method based on improved optimal seam-cutting
Our contribution is as follow: 1) First,the optimal seam-cutting blending algorithm can better eliminate ghost and ghosting problems, but when the suture passes through a moving object or a region with large registration error, the object is incomplete, causing image distortion and affecting stitching quality
Summary
The objective of image mosaicing is to align two or more images of the same scene with overlapping regions into a high-resolution wide-angle image. The optimal seamcutting blending algorithm can eliminate the ghosting and double shadows well, but it makes the object incomplete and produces significant image distortion that affects the quality of stitching if the seam line passes through a moving object or a region with a large registration error. To solve the problems of the seam line and ghosting caused by a large exposure difference or a moving object in image mosaic, this paper presents an image mosaic method based on improved optimal seam-cutting. Our contribution is as follow: 1) First,the optimal seam-cutting blending algorithm can better eliminate ghost and ghosting problems, but when the suture passes through a moving object or a region with large registration error, the object is incomplete, causing image distortion and affecting stitching quality.
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