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Image Mosaic Based on Pixel Subtle Variations

  • Siqi Deng
  • Xiaofeng Shi
  • Xiaoyan Luo
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 875)

Abstract

Many traditional image mosaic methods focus on image registration, and attempt to provide a discontinuous solution of overlapping images. However, the overlapping areas cannot be captured in some special situation such as airborne line scan camera. For this airborne imaging, we introduce a novel mosaic technique based on pixel subtle variations, which analyses the pixel signal on subtle variations in Taylor series expansion. To construct the correlation between line scan sub-images, the pixels at the same position in each line scan sub-image are viewed as 1D signal, and then the misalignment and displacement among sub-images can be depicted as pixel subtle variations in translational motion. With the reference of previous line scan sub-image, the subtle variations of adjacent sub-images can be evaluated and eliminated. Afterwards, a number of sub-images handled are almost aligned to compose an integral image without seam line. The experimental mosaic results on real sub-images of airborne line scan show the effectiveness of our method in achieving seamless zebra crossing image and the strong robustness to brightness.

Keywords

Image mosaic Line scan camera Pixel subtle variations Taylor series expansion Signal processing 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Electronic Information EngineeringBeihang UniversityBeijingChina
  2. 2.School of AstronauticsBeihang UniversityBeijingChina

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