Study of high performance information hiding algorithm based on CL multi-wavelet transform and color field structure analysis process

Propose a new image processing method which named Color Field Structure Analysis Process (CFS). The direction of CFS represents the information. Take advantage of the feature that the energy of the image would gather and spread on four components (LL 2, LH 2, HL 2 and HH 2) in the sub-image after first-order CL multi-wavelet transform. Propose an Information Hiding Algorithm bas ed onmodifying the direction of CFS in four CL first-order sub-images. The maximum change of direction angle is usually less than π/2 k. The information is divided into two parts, one part is embedded in LL 2 and HH 2, and the other part is embedded in LH 2 and HL 2. Use the Logistic chaotic map, Knight's Tour traversal and the genetic algorithm to improve the consistence of the embedded data bits' order and the character of the sub-image. Experimental results indicate that the proposed algorithm can increase invisibility and robustness separately by 25.34% and 21.96% averagely, and has certain ability against steganalysis such as Higher Order Statistics based on wavelet coefficients. Moreover, the scheme has excellent sensitivity of image processing.