Real-time image tamper localization based on fragile watermarking and Faber-Schauder wavelet

This paper presents a real-time image tamper detection and localization based on fragile watermarking and Faber-Schauder discrete wavelet transform (FSDWT). The maximum coefficients of FSDWT are used with a logo to generate the watermark which is embedded in the least significant bit (LSB) of specified pixels of the original image. Experimental results prove the effectiveness of the proposed method through a series of attacks and affirm that the requirements of imperceptibility, fidelity, effectiveness and real-time processing are satisfied. The proposed method contains simple operations and has low complexity, hence, it is suitable for applications working on real-time.