John Christopher D. Ilacad, Harry Chris John C. Decapia, Mark Anthony S. Mercado, Jonathan C. Morano, Mark Christopher R. Blanco
{"title":"Enhancement of Wang-Yin-Wang Improved Least Significant Bit Algorithm Applied in Image Steganography","authors":"John Christopher D. Ilacad, Harry Chris John C. Decapia, Mark Anthony S. Mercado, Jonathan C. Morano, Mark Christopher R. Blanco","doi":"10.36948/ijfmr.2024.v06i03.19973","DOIUrl":null,"url":null,"abstract":"Researchers modified the development of Wang-Yin-Wang LSB Algorithm because it has not been able to maintain all the bits of the hidden image since there were insufficient pixel values in the carrier image. Use of LZW Compression algorithm for the hidden image is one way to solve this issue. The results showed that after compressing, there is now much capacity inside the carrier image to hold a bigger hidden image without making it look significantly different. This approach makes it easy to insert compressed data into a carrier image. Furthermore, besides improving capacity of carrier image as evidenced by test results, suggested method outperforms Wang-Yin-Wang’s algorithm in terms of visual quality of the stego image.","PeriodicalId":391859,"journal":{"name":"International Journal For Multidisciplinary Research","volume":"27 13","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal For Multidisciplinary Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36948/ijfmr.2024.v06i03.19973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Researchers modified the development of Wang-Yin-Wang LSB Algorithm because it has not been able to maintain all the bits of the hidden image since there were insufficient pixel values in the carrier image. Use of LZW Compression algorithm for the hidden image is one way to solve this issue. The results showed that after compressing, there is now much capacity inside the carrier image to hold a bigger hidden image without making it look significantly different. This approach makes it easy to insert compressed data into a carrier image. Furthermore, besides improving capacity of carrier image as evidenced by test results, suggested method outperforms Wang-Yin-Wang’s algorithm in terms of visual quality of the stego image.