Authors - Chethana N S, Anithadevi M D Abstract - We introduce a groundbreaking steganographic technique that merges non-linear cost evaluationmethods with binary triangular matrix structures to achieve superior data concealment in color images.Our approach tackles the inherent weaknesses of conventional linear cost models by implementing amultiplicative framework that more effectively maintains the statistical characteristics of images whileoptimizing embedding performance. The integration of structured binary matrices enables intelligentposition selection through organized randomization, preserving both visual fidelity and cryptographicsecurity. Our methodology incorporates sophisticated texture evaluation, self-adjusting parameter tuning, andmulti-channel analysis to deliver outstanding results across various image categories. Through rigoroustesting, we demonstrate remarkable improvements over current leading methods, achieving averagePSNR values of 52.34 dB and SSIM scores of 0.9847 across standardized test collections from multipleimage databases. The system exhibits substantially enhanced resilience against contemporarysteganalysis tools while supporting high embedding rates up to 0.8 bits per pixel with strengthenedsecurity assurances.
