Kh. M Singh

Kh. M Singh
NIT Manipur · Computer Science & Engineering

PhD

About

20
Publications
1,387
Reads
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81
Citations
Citations since 2016
6 Research Items
46 Citations
20162017201820192020202120220246810
20162017201820192020202120220246810
20162017201820192020202120220246810
20162017201820192020202120220246810
Additional affiliations
February 1991 - present
National Institute of Technology, Manipur
Position
  • Professor (Associate)

Publications

Publications (20)
Article
Copy-move forgery is one of the most popular tampering artefacts in digital images. However, tampering effect in digital images makes the authentication of the processing as untrustworthy. In this paper, a combination of Fourier-Mellin and Zernike moments (FMZM) Transform is proposed which detects the copy-move region with high-speed and low-comput...
Chapter
Distinguishing between the original and manipulated image is now a major issue as digital media can be easily manipulated, due to the advancement of the image processing techniques. A scheme is required to check the integrity of the digital multimedia. Another issue is efficient indexing and retrieval for multimedia data. Traditional indexing metho...
Article
This paper presents a technique of motion planning of robot using Fuzzy Method and Genetic Algorithm along with Three Path concept in a dynamic environment which contains both static and dynamic obstacles. The algorithm is divided into two phases. In the first phase, a path or two is generated by using Three Path Method or Fuzzy-GA while considerin...
Article
Due to the rapid growth of the Internet, a major issue arises in indexing, retrieval, authentication and verification of multimedia data. Copyright protection is one of the issues that arises due to advancement of digital communication. Perceptual video hashing gives an efficient and effective solution for indexing, retrieving, verifying the authen...
Conference Paper
Due to the rapid development of Internet, digital and network technology, there is a huge increase in production and distribution of videos. This leads to the increase in number of video copies, both legal and non legal. Thus a mechanism is needed to protect the digital videos from manipulation or unauthorized reuse of the video. A hash function ca...
Conference Paper
As the internet grows, the amounts of digital data like images generated by the users are increasing in huge amount. Thus a mechanism is needed to manage large database and at the same time provide protection, verification, integrity and authentication of data. An image hash function is one such mechanism. It takes an image data as an input and pro...
Article
Full-text available
A new group of switching vector filters based on the non-causal linear prediction for the detection of impulse noise from colour images is presented. The proposed filters utilise the non-causal linear prediction coefficients obtained from the block-by-block autocorrelation function to find prediction vector pixel value at the centre of the filter w...
Article
A new switching vector median filter based on the non-causal linear prediction for the detection of impulse noise from colour images is presented. The proposed filter utilises non-causal linear prediction coefficients obtained from the block-by-block autocorrelation function to find prediction error by taking difference between the vector pixel val...
Article
The paper proposes a new algorithm for detection and filtering of impulse noise from gray-scale images. The detection scheme consists of two stages. In the first stage, it is tested whether the centre pixel in the window of the image is healthy or not by incorporating the condition of the rank-conditioned median filter. The centre pixel may be an i...
Conference Paper
This paper presents an improved rank-conditioned median filter, with the ability of the median filter to remove the impulse noise and the rank conditioned median filter to preserve edges and fine image details. The center pixel that lies outside the trimming range after ranking in the rank-conditioned median algorithm may not be the corrupted pixel...
Article
Full-text available
This paper presents a new method for filtering the impulse noise in images. This is a two-stage approach in which an impulse is first detected by thresholding the energy of the prediction error in a block-based twodimensional linear prediction of the image intensity. The median filter is subsequently applied to the pixels detected to be corrupted b...
Conference Paper
Full-text available
This paper presents a new algorithm for detection of fixed-valued and random-valued impulses from images based on locally obtained statistics. By incorporating the rank-conditioned median (RCM) and center-weighted median (CWM) filters into an impulse noise detection framework, an adaptive mechanism is formed for effectively reducing impulse noise w...
Conference Paper
It is always advisable to apply filtering only on corrupted pixels of images leaving untouched the uncorrupted ones to preserve image features and to avoid blurring effects. We present an algorithm which can detect the corrupted pixels in texture images. It uses a fuzzy Kohonen clustering network that integrates with the fuzzy c-means (FCM) model u...
Article
Full-text available
A new impulse noise detection technique from gray-scale and multichannel images is presented. It is based on block correlation of the noncausal linear prediction. The linear prediction coefficients are calculated using a block of the image at one instant. These coefficients are valid within that block only and are used to predict a pixel in a slidi...
Article
Full-text available
The technology of computer graphics and digital cameras are prevalent. High-resolution display and printer are available. High-resolution images are needed in order to produce high quality display images and high quality prints for use in desktop publishing, large artistic printing, mobile phone etc. However, since high-resolution images are not us...

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