Contourlet transformation for text hiding in HSV color image

A high frequency directional pass band from of the contourlet transform is selected for data embedding. Image features like Peak Signal to Noise Ratio (PSNR). The proposed method show that we could successfully embed data in cover_images and extract it with the average embedding capacity of (1/16) bits per pixel without any error. High capacity can be achieved using this method according to block size. | International Journal of Computer Networks and Communications Security C VOL. 1, NO. 4, SEPTEMBER 2013, 132–139 Available online at: ISSN 2308-9830 N C S Contourlet Transformation for Text Hiding in HSV Color Image KHALIL IBRAHIM ALSAIF1 and MEAAD M. SALIH2 12 Dept of Computer Science, College of Computer & Mathematic Science-Mosul Univ./ IRAQ E-mail: 1skhalil_alsaif@, 2meaad_muhammad@ ABSTRACT Texts hiding in digital image have recently received quite a bit of attention because it is very important in invisible communication. This paper presents a new data hiding technique for embedding text data in images represented in HSV color space using (NSCT). The text data is first converted to ASCII format and then represented in binary form and then, added to contourlet coefficients. A high frequency directional pass band from of the contourlet transform is selected for data embedding. Image features like Peak Signal to Noise Ratio (PSNR). The proposed method show that we could successfully embed data in cover_images and extract it with the average embedding capacity of (1/16) bits per pixel without any error. High capacity can be achieved using this method according to block size. Keywords: HSV_color image, steganography, contourlet transform, stego_image. 1 INTRODUCTION Data hiding involves hiding secret messages into the cover object with a slight distortion. It represents various applications, for example, copyright protection (watermarking), secret communication (steganography), image authentication, and so on. Though various applications have different requirements, data hiding has two fundamentals. First, the embedding distortion should be minimized. As far as security is concerned, the embedding changes in cover object should not be conspicuous. Secondly, the hiding capacity should suffice to embed a reasonable amount of embedded messages. However, a tradeoff between the embedding distortion and the hiding capacity .

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