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Nisha c D

Department of Computer Science, Mary Matha Arts and Science College, Kannur University, Wayanad,Mananthavady, Kerala, 670645 & Asst.Professor ,Department of Computer Science,Little Flower College(autonomous) Guruvayur,Kerala,680103

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International Journal of Technology and Emerging Research

Published Papers

Image Steganography Under Multiple Performance Metrics: A Comparative Study
International Journal of Technology and Emerging Research Vol. 2, ICITT-2026 Aug 2026 pp. 237–243

https://doi.org/10.64823/ijter.2621022

Image steganography performance depends on a trade-off among embedding capacity, imperceptibility, structural fidelity, robustness, security, and computational cost. This paper presents a comparative evaluation framework for spatial-domain and transform-domain image steganography using four standard benchmark images: Lena, Baboon, Barbara, and Cameraman. Representative spatial methods, Least Significant Bit (LSB) substitution and Pixel Value Differencing (PVD), are compared with transform-domain methods based on the Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and a hybrid DWT–DCT approach. The evaluation parameters include embedding capacity, bits per pixel, PSNR, SSIM, extraction accuracy, robustness, and execution complexity. Equations, image-wise tables, average-performance tables, and bar charts are provided. The numerical comparison tables are explicitly presented as an illustrative experimental template because measured values require implementation under identical payload, image size, and attack conditions.

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