{"title":"Hiding Three Binary Images in a Grayscale Image with Pixel Matching Steganography and Randomization technique","authors":"M. G. Gouthamanaath, A. Kangaiammal","doi":"10.1109/ICCTCT.2018.8550991","DOIUrl":null,"url":null,"abstract":"This paper presents a method to hide three binary images in a grayscale image with same resolution. Pseudo Random Number Generator(PRNG) produces the random numbers that rearranges the binary values. PRNG algorithm is unique and the strength of random numbers generated are equal to random numbers generated without a seed value. Each binary image pixel values are rearranged through three random number series and it is hidden in a grayscale image through Ultra Unique Numbers (UUN). By comparing both concealed image and original image, modification among the image is identified. To identify concealed secret binary information in a grayscale image at the destination, UUN is reapplied. PRNG is used to rearrange the binary values for transforming the binary images. The main aim of this paper is to increase the embedding capacity of carter image without degrading the quality of the secret information with high Peak Signal Noise Ratio(PSNR).","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTCT.2018.8550991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents a method to hide three binary images in a grayscale image with same resolution. Pseudo Random Number Generator(PRNG) produces the random numbers that rearranges the binary values. PRNG algorithm is unique and the strength of random numbers generated are equal to random numbers generated without a seed value. Each binary image pixel values are rearranged through three random number series and it is hidden in a grayscale image through Ultra Unique Numbers (UUN). By comparing both concealed image and original image, modification among the image is identified. To identify concealed secret binary information in a grayscale image at the destination, UUN is reapplied. PRNG is used to rearrange the binary values for transforming the binary images. The main aim of this paper is to increase the embedding capacity of carter image without degrading the quality of the secret information with high Peak Signal Noise Ratio(PSNR).