Multi Exposure Image Fusion based on PCA

Authors

  • K. Suresh Babu M.Tech student, Department of Electronics and Communication Engineering Chadalawada Venkata Subbaiah College of Engineering Tirupati, Andhra Pradesh
  • S.Ali Asgar Assistant Professor, Department of Electronics and Communication Engineering Chadalawada Venkata Subbaiah College of Engineering Tirupati, Andhra Pradesh
  • Dr.V. Thtimurthulu Head of the Department, Department of Electronics and Communication Engineering Chadalawada Venkata Subbaiah College of Engineering Tirupati, Andhra Pradesh
  • MSA. Srivatsava Department of Electronics and Communication Engineering JNTU Ananthapuram, Andhra Pradesh India

DOI:

https://doi.org/10.31695/IJERAT.2018.3296

Keywords:

Colour space, Principal component analysis, SSIM, MSE, PSNR.

Abstract

We face a lot of challenges in image exposure (light/unit area), while an image is captured using a digital camera. To solve this problem, multiple exposure images are combined by different fusion techniques to generate HDR(High dynamic range) image. In order to fuse these images to form a desired HDR image, different techniques are adopted. In this paper a new method is developed using statistical values and component analysis. The algorithm is tested for different images, for comparison of existing methods-evaluation metrics like SSIM, MSE and PSNR are used.

References

Downloads

Issue

Vol. 4 No. 8 (2018): Vol 4 Issue 8 August 2018

Section

Articles

How to Cite

Multi Exposure Image Fusion based on PCA. (2018). International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135), 4(8), 37-46. https://doi.org/10.31695/IJERAT.2018.3296