Image Steganography based on Quantization Error
| Autor: | Sachin Kathuria, Akanksha Tripathi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Pixel Steganography Computer science business.industry Quantization (signal processing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Variance (accounting) computer.file_format Image steganography JPEG Image (mathematics) Computer vision Artificial intelligence business computer |
| Zdroj: | International Journal of Computer Applications. 141:36-39 |
| ISSN: | 0975-8887 |
| DOI: | 10.5120/ijca2016909804 |
| Popis: | paper designs a technique that hides the text in a image such that the modified (stego) image have same or enhanced quantized variance as compared to the original image. The algorithm hides the text in the higher frequency component of transformed image only if the image quantized variance needs the improvement at that pixel. This results in the enhanced image with hided data. The results are analysed over various images by using the parameters like PSNR, MSE and the quantized variance. Keywordserror, PSNR, jpeg, stego image. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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