Image Inpainting Using Coherent Sensitive Hashing

Authors

  • Bhagyashree .C. Patil M.E. E&TC (Signal Processing), Late.G.N.Sapkal College Of Engineering,Anjaneri,Nashik
  • Prof .K. J. Mahajan Department of E & TC , Late.G.N.Sapkal College Of Engineering,Anjaneri,Nashik

Keywords:

Coherent Sensitive Hashing, Exampler Based Inpainting, ANNF, Walsh-Hadamard kernels

Abstract

In this paper there is comparison of two Inpainting Algorithm Exampler based inpainting and Coherent
Sensitive Hashing Algorithm. First, we use the Exampler based inpainting Algorithm to the input image which will fill the
missing region of the image. Then we compared the results with Coherent Sensitive Hashing Algorithm. Coherency
Sensitive Hashing (CSH) extends Locality Sensitivity Hashing (LSH) and Patch-Match is used to quickly find matching
patches between two images. The experimental results show the advantage that our technique produces output images
with better perceived visual quality.

Published

2015-10-25

How to Cite

Bhagyashree .C. Patil, & Prof .K. J. Mahajan. (2015). Image Inpainting Using Coherent Sensitive Hashing. International Journal of Advance Engineering and Research Development (IJAERD), 2(10), 47–51. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/4851