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Reversible Image Data Hiding with Histogram Shifting


Affiliations
1 KMP College of Engineering, Asamanoor P.O, Poomala, Odakkali, Kerala, India
2 Department of Computer Science and Engineering, KMP College of Engineering, Asamannoor P.O Poomala, Odakkali, Kerala, India
     

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In this correspondence, a novel reversible (RDH) algorithm is suggested for images. Instead of keeping the PSNR value high, the suggested algorithm increases the contrast of a variety picture to enhance its visible high quality. The biggest two peaks in the histogram are chosen for data embedding so that histogram equalization can be conducted by duplicating the procedure. The part details are included along with the concept pieces into the variety picture so that the unique picture is absolutely recoverable. The suggested algorithm was applied on two places of pictures to demonstrate its performance. To our best details, it is the first algorithm that accomplishes picture contrast improvement by RDH. Furthermore, the assessment outcomes display that the visible high quality can be preserved after a lot of concept pieces have been embedded into the contrast-enhanced pictures, even better than three specific MATLAB features used for picture comparison improvement.

Keywords

Contrast Enhancement, Histogram Shifting, Location Map, Reversible Data Hiding.
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  • Reversible Image Data Hiding with Histogram Shifting

Abstract Views: 233  |  PDF Views: 3

Authors

Mithun Johny
KMP College of Engineering, Asamanoor P.O, Poomala, Odakkali, Kerala, India
Renju Samuel
Department of Computer Science and Engineering, KMP College of Engineering, Asamannoor P.O Poomala, Odakkali, Kerala, India

Abstract


In this correspondence, a novel reversible (RDH) algorithm is suggested for images. Instead of keeping the PSNR value high, the suggested algorithm increases the contrast of a variety picture to enhance its visible high quality. The biggest two peaks in the histogram are chosen for data embedding so that histogram equalization can be conducted by duplicating the procedure. The part details are included along with the concept pieces into the variety picture so that the unique picture is absolutely recoverable. The suggested algorithm was applied on two places of pictures to demonstrate its performance. To our best details, it is the first algorithm that accomplishes picture contrast improvement by RDH. Furthermore, the assessment outcomes display that the visible high quality can be preserved after a lot of concept pieces have been embedded into the contrast-enhanced pictures, even better than three specific MATLAB features used for picture comparison improvement.

Keywords


Contrast Enhancement, Histogram Shifting, Location Map, Reversible Data Hiding.