A Short Survey on Perceptual Hash Function

Clicks: 100
ID: 13782
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #140 of 148 articles by views in adbu journal of engineering technology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 148 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The authentication of digital image has become more important as these images can be easily manipulated by using image processing tools leading to various problems such as copyright infringement and hostile tampering to the image contents. It is almost impossible to distinguish subjectively which images are original and which have been manipulated. There are several cryptographic hash functions that map the input data to short binary strings but these traditional cryptographic hash functions is not suitable for image authentication as they are very sensitive to every single bit of input data. When using a cryptographic hash function, the change of even one bit of the original data results in a radically different value. A modified image should be detected as authentic by the hash function and at the same time must be robust against incidental and legitimate modifications on multimedia data. The main aim of this paper is to present a survey of perceptual hash functions for image authentication. Keywords: Hash function, image authentication *Cite as: Arambam Neelima, Kh. Manglem Singh, “A Short Survey on Perceptual Hash Function” ADBU-J.Engg Tech, 1(2014) 0011405(8pp)
Reference Key
neelima2014aadbu Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Arambam Neelima;Kh Manglem Singh;
Journal adbu journal of engineering technology
Year 2014
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.