Abstract
The aim of the paper is to find the distortion rates of the images by using Steganography. The cover and message images are scaled to 256 by 256 pixels. RGB level images are converted into HSI color space. HSI color space based metric establishes a better relationship with human perception for the processing. For the ‘message hiding’, the LSB Steganography method is utilized. In the image application, the least significant bit (LSB) data embedding is performed on the image. The effect of changing LSBs up to the 7th bit plane on the image has been examined with various quality metrics values like PSNR, SSIM, and MSE. Here we focus on the degradation level of the tested image to evaluate the effect of the RGB level image converted to the HSI color space, the altered effect of the original image on the data embedded image and calculate the image quality criteria.
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Inan, Y. (2022). Quality Metrics of LSB Image Steganography Technique for Color Space HSI. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021. ICSCCW 2021. Lecture Notes in Networks and Systems, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-92127-9_13
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DOI: https://doi.org/10.1007/978-3-030-92127-9_13
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