Innovative Word-Hunt LSB Steganography: Minimize Pixel Modifications for Better Image Security ๐ผ๏ธ
Discover a new LSB steganography method that reduces pixel modifications, enhancing image security and data hiding efficiency. Learn how the Word-Hunt approach advances digital steganography techniques.

Code Shoppy
38 views โข Nov 25, 2019

About this video
Least Significant Bit (LSB) steganography is a
well known technique which operates in the spatial domain of
digital images. In this paper, the LSB Word-Hunt (LSB WH) is
presented. It is a novel LSB approach inspired by the word-hunt
puzzle. The main focus of LSB WH is to reduce the Expected
Number of Modifications per Pixel (ENMPP) when compared to
other methods in the literature. The results show that LSB WH
has an ENMPP around 0.315, for natural images with high
entropy on the second and the third least significant bits. Results
also show that the new method is robust to the statistical chisquare
attack.
matlab projects,image processing,ieee projects,2019,2020,engineering students,electronics and communication engineering,projects,final year,matlab projects with source code,matlab projects on image processing
well known technique which operates in the spatial domain of
digital images. In this paper, the LSB Word-Hunt (LSB WH) is
presented. It is a novel LSB approach inspired by the word-hunt
puzzle. The main focus of LSB WH is to reduce the Expected
Number of Modifications per Pixel (ENMPP) when compared to
other methods in the literature. The results show that LSB WH
has an ENMPP around 0.315, for natural images with high
entropy on the second and the third least significant bits. Results
also show that the new method is robust to the statistical chisquare
attack.
matlab projects,image processing,ieee projects,2019,2020,engineering students,electronics and communication engineering,projects,final year,matlab projects with source code,matlab projects on image processing
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Video Information
Views
38
Duration
1:09
Published
Nov 25, 2019
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