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Image Steganography Using Mixed Channel Replacement


Affiliations
1 Department of Computer Engineering, Yadavindra College of Engineering, Talwandi Sabo, Punjab, India
 

Steganography is a method of hiding information in other information. In this paper, we proposed a new image steganography scheme which is a kind of spatial domain technique. The mixed channel replacement technique is used to hide secret data in cover image. Techniques used so far focuses only on the two or four bits of a pixel in a image (at the most five bits at the edge of an image) which results in less peak to signal noise ratio and high ischolar_main mean square error. In this technique, each character of secret message is divided into three blocks. Each block is embedded in different components (R, G and B) of pixels. This scheme can embed more data than previous schemes and shows better image quality. Various experiments are performed to test this scheme and it is found that there are no visual distortions in the image.

Keywords

Image, Spatial Domain, Mean Square Error, Peak Signal to Noise Ratio, Stegano-Graphy.
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  • Image Steganography Using Mixed Channel Replacement

Abstract Views: 224  |  PDF Views: 2

Authors

Tejinderpal Singh
Department of Computer Engineering, Yadavindra College of Engineering, Talwandi Sabo, Punjab, India
Simpel Jindal
Department of Computer Engineering, Yadavindra College of Engineering, Talwandi Sabo, Punjab, India

Abstract


Steganography is a method of hiding information in other information. In this paper, we proposed a new image steganography scheme which is a kind of spatial domain technique. The mixed channel replacement technique is used to hide secret data in cover image. Techniques used so far focuses only on the two or four bits of a pixel in a image (at the most five bits at the edge of an image) which results in less peak to signal noise ratio and high ischolar_main mean square error. In this technique, each character of secret message is divided into three blocks. Each block is embedded in different components (R, G and B) of pixels. This scheme can embed more data than previous schemes and shows better image quality. Various experiments are performed to test this scheme and it is found that there are no visual distortions in the image.

Keywords


Image, Spatial Domain, Mean Square Error, Peak Signal to Noise Ratio, Stegano-Graphy.