, digital data verification of source authentication and integrity has been digitally signed. A digital signature is a data string that associates (combines) a piece of data (in digital form with some original entity). With the availability of advanced image/video editing tools, multimedia authentication data is increasingly important. The traditional way of image authentication requires storing and transmitting a signature string in the header of the image. This method imposes limitations on image/file formats that sometimes prevent implementations in older systems. It's also easy to get lost in format conversions, even if the underlying image data remains unchanged. Therefore, it is desirable to include a digital signature in the image data. The goal is to achieve full text watermarking that exploits data redundancy in images and human visual system (HVS) insensitivity to small distortions. In addition to being format independent, digital watermarks have the advantage of tamper localization, which refers to the ability to identify areas of the image that have been tampered with (manipulated) before inserting the watermark.

The functionality provided by digital watermarking, however,

often comes at the expense of image fidelity. Most water decolorization techniques modify, and therefore deform, the host's signal to insert in order to verify the information. In many applica-tions, the loss of image fidelity is so high that it is not only perceptually equivalent to modifying the original image. On the other hand, in medical, military, legal and other imaging applications where the need for authentication is usually paramount, there are strict limitations on data accuracy, usually prohibiting signal distortion during any permanent watermarking process.

Loss in signal fidelity, loss of reversible, less (also referred to as reversible, reversible, or distortion-free reference to use) verification watermarks1. These methods, like their lossy counterparts, insert the modi-fying host signal, thereby causing distortion of the embedded authentication information. Peak-ertheless also makes such distortions of their deletions possible, allowing for accurate, lossless, restoration of the original host signal.

The original contribution of this article is a new type of lossless verification framework. This framework is validated against previous schemes before attempting to reconstruct the authenticity of the original image and the integrity of the water-marked image. If the verification step is successful, the reconstructed (original completeness) image infers the uniqueness from the reconstruction process. This reduces computational requirements in cases when either the verification step fails or zero-distortion reconstruction is not necessary. The framework also allows for unauthorized access with perfect original public (key) authentication and efficient tamper localization.