IMAGE INTEGRATION OF MISALIGNED IMAGE PAIR

Authors

  • Akanksha Tiwari Department of Computer Science and Eng. Raipur Institute of Technology, Raipur (Chhattisgarh)
  • Avinash Dhole Department of Computer Science and Eng. Raipur Institute of Technology, Raipur (Chhattisgarh)

Keywords:

Color transfer, correspondence search, Image integration, Feature extraction, ORB

Abstract

Restoration of high quality image form very noisy or blurry image taken in the low lighting condition is a
very challenging problem. And also for integration of such images we required well aligned image pair. We propose a
image integration method which will enables you to integrate the color of long exposure image with the fine details of
flash image in addition with very less time consumption here we are using ORB ( Oriented Fast and Rotation BRIFE) for
feature matching. Feature matching is at the base of many computer vision problems, such as object recognition, face
recognition. ORB is a very fast binary descriptor based on BRIEF. The conventional method for color transfer imposes
an unnatural image and low contrast. We can solve this problem with local linear model. The idea is to integrate the
color of long exposure image with the details of the flash image without causing any harmful effect on contrast on it.

Published

2018-08-25

How to Cite

Akanksha Tiwari, & Avinash Dhole. (2018). IMAGE INTEGRATION OF MISALIGNED IMAGE PAIR. International Journal of Advance Engineering and Research Development (IJAERD), 5(8), 69–73. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/3792