Abstract
Due to the widely spreading of fake news utilizing image manipulation and its bad effects, this paper investigates efficient image contents verification and manipulation detection algorithm performance in presence different attacks and noisy wireless channel. The presented algorithm works based on making horizontal scanning of the image blocks after segmenting it to upper and lower partition, every one of them is divided to equal number of small blocks. These blocks marks the opposite block in another image petitions utilizing different transforms, DFT, DCT, WHT, and DWT transforms. This approach is evaluated and tested in presence different attacks and over the wireless noisy channel for measuring the reliability and robustness of the presented algorithm. The WHT, DCT and DWT based algorithm performed good. The computer simulations reveled the DWT-based approach provides images with littlie quality improving. The algorithm performance over the AWGN channel is bad at the low SNR. For solve this problem the simple and less-complex error control schemes have been utilized to decrease the required SNR for achieving accepted quality of the received image. The merging algorithm is proposed also based on utilizing the mark encrypted image and encrypt marked images verifications approaches. Finally, the computer simulations proved the reliability and robustness of the DWT-based approach and its high detection sensitivity for any image manipulation in the different testing scenarios.