Joint Secret Image Sharing and Progressive Transmission Based on Integer Discrete Cosine Transform

This paper proposes a method that incorporates secret image sharing with progressive transmission based on the integer discrete cosine transform (IntDCT). The idea is to apply IntDCT coefficients after a combination process as input of the (r, n)-threshold model instead of directly sharing the secret pixels. A coarse version of the secret image can be decrypted by Lagrange interpolation with a small quantity of coefficients received. Moreover, the secret image is refined with more shared data received. It can be losslessly reconstructed as long as all coefficients received. Our method can be used for progressive share images transmission. Experimental results demonstrate the effectiveness of the proposed technique.