CSIS: Compressed sensing‐based enhanced‐embedding capacity image steganography scheme

Image steganography plays a vital role in securing secret data by embedding it the cover images. Usually, these images are communicated compressed format. Existing techniques achieve this but have low capacity. Hence, goal here is to enhance capacity while preserving visual quality of stego-image. It also intended ensure that scheme resistant steganalysis attacks. This paper proposes sensing image (CSIS) goals. In CSIS, sparsified block-wise, linear measurements obtained, and then permissible selected. Next, encrypted, 2 bits encrypted embedded into each measurement. For reconstruction stego-image, ADMM LASSO used for resultant optimization problem. Experiments performed on several standard greyscale colour image. Higher capacity, 1.53 times more compared most recent scheme, achieved. An average 37.92 dB PSNR value, values close 1 both mean SSIM index NCC coefficients which considered good. These metrics show CSIS substantially outperforms existing similar schemes.