Arshiya Sajid Ansari

Work place: Noida International University, Department of Computer Science and Engineering, NCR Delhi Noida, India



Research Interests: Image Processing, Data Compression, Data Structures and Algorithms, Data Structures


Mrs. Arshiya Sajid Ansari has received her B.E degree in Computer Technology from the Yashwantrao Chavan College of Engineering, Nagpur University, India and M. Tech. in Computer Engineering from the NMIMS University, Vile Parle Mumbai, India. She is pursuing her Ph.D. from Noida International University NCR Delhi Noida, India. She has 9 years of experience in teaching field. Her research areas of interests are image processing and data warehousing. She is a lifetime member of ISTE.

Author Articles
A Comparative Study of Recent Steganography Techniques for Multiple Image Formats

By Arshiya Sajid Ansari Mohammad Sajid Mohammadi Mohammad Tanvir Parvez

DOI:, Pub. Date: 8 Jan. 2019

Steganography is the technique for exchanging concealed secret information in a way to avoid suspicion. The aim of Steganography is to transfer secrete message to another party by hiding the data in a cover object, so that the imposter who monitors the traffic should not distinguish between genuine secret message and the cover object. This paper presents the comparative study and performance analysis of different image Steganography methods using various types of cover media ((like BMP/JPEG/PNG etc.) with the discussion of their file formats. We also discuss the embedding domains along with a discussion on salient technical properties, applications, limitations, and Steganalysis.

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JPEG Image Steganography based on Coefficients Selection and Partition

By Arshiya Sajid Ansari Mohammad Sajid Mohammadi Mohammad Tanvir Parvez

DOI:, Pub. Date: 8 Jun. 2017

In this paper, we propose a novel JPEG image Steganography algorithm based on partition schemes on image coefficient values. Our method selects the AC and DC coefficients of a JPEG image according to a channel selection method and then identifies appropriate coefficients to store the secret data-bits. As opposed to other reported works, in our algorithm each selected coefficient can store a variable number of data-bits that are decided using the concept called ‘Partition Scheme’. Experimental results indicate the suitability of the proposed algorithm as compared to other existing methods. 

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