Multipurpose image watermarking aims to provide two or more image protection functionalities by embedding various types of watermarks into the same image,including capabilities of copyright protec-tion,content authentication,and tampered recovery.But it still faces challenges in terms of performance and application scenarios nowadays.To promote the study of multipurpose image watermarking,this paper re-views digital image watermarking first,covering its system characteristics,classifications,key technologies,achievable functions,and application scenarios.Furthermore,multipurpose image watermarking methods developed in the past decade are compared and analyzed in terms of fusion-watermark embedding,zero-watermark embedding,serial-watermark embedding,and parallel-watermark embedding.Finally,the future research prospects and development trends are discussed.It is important to note that embedding mul-tiple watermarks results in performance losses in most cases,and further improvements are needed to en-hance its effectiveness in real-world application scenarios.Leveraging artificial intelligence techniques in image multipurpose watermarking holds the promising potential to enhance performance.
digital image watermarkingmultipurpose watermarkcopyright protectioncontent authenticationtampered recovery
NETL
NSTL
万方数据
维普
