Utilization of Merge-Sorting Method to Improve Stitching Efficiency in Multi-Scene Image Stitching

De-ghosting Method for Image Stitching

Ghosting artifact in the field of image stitching is a common problem and the elimination of it is not an easy task. In this paper, we propose an intuitive technique according to a stitching line based on a novel energy map which is essentially a combination of gradient map which indicates the presence of structures and prominence map which determines the attractiveness of a region. We consider...

Automatic Panoramic Image Stitching

Seam-Driven Image Stitching

Image stitching computes geometric transforms to align images based on the best fit of feature correspondences between overlapping images. Seam-cutting is used afterwards to to hide misalignment artifacts. Interestingly it is often the seam-cutting step that is the most crucial for obtaining a perceptually seamless result. This motivates us to propose a seam-driven image stitching strategy wher...

Image Alignment and Stitching

Stitching multiple images together to create beautiful highresolution panoramas is one of the most popular consumer applications of image registration and blending. In this chapter, I review the motion models (geometric transformations) that underlie panoramic image stitching, discuss direct intensity-based and feature-based registration algorithms, and present global and local alignment techni...

Panoramic Image Stitching

This thesis investigates the panoramic image stitching problem in computer vision area. The panoramic image stitching algorithms are divided into image alignment and image stitching approaches. The former can find the correspondence relationships among images with certain degrees of overlap, while the latter takes the correspondence relationships estimated by the registration algorithm and uses...