Splitting Histogram Equalization Based Secure Watermark Detection

Compressive Sensing (CS) unifies sampling and compression in order to reduce the data acquisition and computational load at sensors, at the cost of increased computation at the intended receiver. It is identified that a secret key is used in the CS algorithm for embedding and detecting the watermark and extracting the information. It is then proposed by using splitting histogram equalization method to get a watermarked image and then implemented in Field Programming Gate Array (FPGA).