Design and Implementation of a JavaScript-Based Image Steganography System.

Steganography enables secure communication by embedding confidential data within digital images while preserving visual quality. This paper presents a lightweight, fully client-side image steganography system developed using HTML5, CSS3, and plain JavaScript. The proposed method employs Least Significant Bit (LSB) substitution in RGB pixel components for text embedding and extraction, eliminating server-side processing and enhancing privacy. Experimental results show high visual fidelity with PSNR values above 50 dB and SSIM greater than 0.98 for typical payloads, supporting efficient embedding with minimal distortion and execution time under one second for standard 512 x 512 images. The primary contribution of this work lies in presenting a transparent, modular, and dependency-free JavaScript framework that systematically evaluates image quality, embedding capacity, and performance metrics within a browser-only environment. By integrating quantitative analysis and performance benchmarking, the study bridges the gap between conceptual JavaScript steganography demonstrations and experimentally validated client-side implementations, demonstrating the practical viability of secure web-based steganographic communication. [ABSTRACT FROM AUTHOR]