Information Hiding using Improved LSB Steganography and Feature Detection Technique
Mamta Juneja1, Parvinder Singh Sandhu2
1Mamta Juneja, Assistant Professor, University Institute of Engineering and Technology, Panjab University, Chandigarh, India.
2Dr. Parvinder Singh Sandhu, Professor, Rayat and Bahara Institute of Engineering and Bio-Technology, Mohali, India.
Manuscript received on March 12, 2013. | Revised Manuscript received on April 09, 2013. | Manuscript published on April 30, 2013. | PP: 275-279 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1394042413/2013©BEIESP

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Abstract: This paper proposes an improved Least Significant bit(LSB) based Steganography technique for images imparting better information hiding .It presents an embedding algorithm for hiding encrypted messages in nonadjacent and random pixel locations in edges and smooth areas of images. It first encrypts the secret message, and detects edges as well as smooth areas in the cover-image using improved feature detection filter. Message bits are then, embedded in the least significant byte of randomly selected edge area pixels and 1-3-4 LSBs of red, green, blue components respectively across randomly selected pixels across smooth area of image. It ensures that the eavesdroppers will not have any suspicion that message bits are hidden in the image and standard steganography detection methods can not estimate the length of the secret message correctly. The Proposed approach is better in PSNR value and Capacity as shown experimentally than existing techniques.
Keywords: Canny filter, Feature detection, Hough transform, Image Steganography, Information hiding, LSB based Insertion.